JP2023169744A - Trademark support system - Google Patents

Abstract

To provide a trademark support system suitable for reducing defects of the commodity or service when referring to the designated commodity or designated service related to the past trademark registration.SOLUTION: Disclosed is a trademark support device 100 which includes the steps of: inputting the commodity (service); retrieving the commodity (service) corresponding to the inputted commodity (service) from tables 400,420,440; displaying relevant commodities (services) in descending order of the number of appearances; and setting the relevant commodities (services) as the change target commodity (service). Then, the change target commodity (service) is changed to the suitable commodity (service) based on a change rule table 460 in which the non-suitable commodity (service) and the suitable commodity (service) are registered as a change rule in association with each other. As a result, the commodity (service) which is likely to be handled in the future business and has few defects can be obtained.SELECTED DRAWING: Figure 12

Description

The present invention relates to a system for providing support regarding trademarks, and particularly to a trademark support system suitable for reducing defects in goods or services when referring to designated goods or designated services related to past trademark registrations.

Conventionally, as a technique for supporting trademark registration applications, for example, the technique described in Patent Document 1 is known.

The technology described in Patent Document 1 inputs a product or service, searches a product information table for a product or service that matches the input product or service, and searches for other products or services registered in the same record. Services are searched from a product information table, the number of appearances is calculated for each of the same contents for the found products or services, and the found products or services and the number of appearances are displayed in descending order of the number of appearances. This makes it possible to analyze products or services that may be handled in future business based on the products or services handled in current business.

Japanese Patent Application Publication No. 2014-132394

However, the technology described in Patent Document 1 is configured to display designated goods or designated services related to past trademark registrations, so if the displayed goods or services are used as they are in the application for trademark registration. , revisions to similar goods and services examination standards, etc. may result in the designation of goods or services that do not comply with the current examination. In this case, deficiencies will be pointed out during the examination by the Patent Office, and procedures will be required to correct the deficiencies.

Therefore, the present invention has been made by focusing on the unresolved problems of the conventional technology, and it is possible to use the designated goods or designated services related to past trademark registration as a reference. The purpose is to provide a trademark support system suitable for reducing defects.

[Invention 1] In order to achieve the above object, the trademark support system of Invention 1 includes a product information acquisition means for acquiring product information regarding a first product or service or a group to which the same belongs, and a second product or service or a group to which the first product or service belongs. Acquired by the product information acquisition means based on the change rule of the product information storage means that stores the product information about the group to which it belongs in association with the product information about the first product or service or the group to which it belongs as a change rule. and changing means for changing the first product or service or the group to which it belongs according to the product information to the second product or service or the group to which it belongs.

With such a configuration, the product information acquisition means acquires the product information regarding the first product or service or the group to which it belongs, and the change means acquires the first product information related to the acquired product information based on the change rule. The product or service or the group to which it belongs is changed to the second product or service or the group to which it belongs.

Here, the goods or services include, for example, goods or services specified in a trademark registration application or defensive mark registration application. The same applies to the trademark support systems of Inventions 3, 4, 6, 8, 9, and 11 below.

In addition, the first goods or services include, for example, goods or services specified in a trademark registration application, trademark registration, defensive mark registration application, or defensive mark registration (hereinafter referred to as "trademark registration case"). . Further, the second goods or services include, for example, goods or services that comply with current examination standards and other examinations. The same applies to the trademark support systems of Inventions 3, 4, 6, 8, and 9 below.

Further, the product information can be configured as, for example, information for identifying the product or service or the group to which it belongs (for example, link information such as name, number, ID, code, URL, etc.). Further, the product information can be configured as, for example, characters, numbers, figures, codes, symbols, images, sounds, and other information. Further, the product information can be configured as a keyword (for example, one or more keywords indicating part of the name of the product or service) related to the product or service or the group to which the product or service belongs. The same applies to the trademark support systems of Inventions 3, 4, 6, 8, 9, and 11 below.

In addition, product information includes, for example, (1) product information regarding the goods or services designated in a trademark registration case (referred to as "designated goods, etc." in this paragraph) or the group to which they belong; (2) comprehensive information on designated goods, etc. (3) Product information regarding products or services of a broader concept included in designated products, etc. or the group to which they belong; (4) Product information regarding products or services of a lower-level concept included in designated products, etc., or the group to which they belong; (4) Predetermined standards (for example, current (5) Products or services that have replaced designated goods, etc. under the rewriting system, etc. (products before or after rewriting) or services) or product information regarding the group to which it belongs. The same applies to the trademark support systems of Inventions 3, 4, 6, 8, 9, and 11 below.

Further, the product information acquisition means may, for example, input product information from an input device, obtain or receive product information from an external terminal, or obtain product information from a storage device, storage medium, etc. The product information may be read out, or the product information may be generated or calculated by information processing or the like. Acquisition therefore includes at least input, acquisition, reception, reading (including retrieval), generation, and calculation. The concept of acquisition is the same below.

In addition, the product information storage means stores product information by any means and at any time, and may store product information in advance, or may store product information in advance without storing product information in advance. Product information may be stored by external input or the like during operation of the system. The same applies to the trademark support systems of Inventions 3 and 4 below.

In addition, product information regarding the second product or service or the group to which it belongs (referred to as "second product information" in this paragraph) to product information regarding the first product or service or the group to which it belongs (referred to in this paragraph as "second product information") For example, (1) storing the second product information and the first product information in a direct association, such as by registering the second product information and the first product information in the same record; This includes storing information via one or more intermediate pieces of information, such as providing a table in which second product information and intermediate information are registered in association with each other, and a table in which first product information and intermediate information are registered in association with each other. . That is, any data structure can be adopted as long as it is possible to trace the second product information from the first product information. Note that the second product information may be stored in the product information storage means in association with the first product information, and it is not necessarily necessary to store the first product information in the product information storage means. Hereinafter, the concept of storing information in correspondence is the same.

Furthermore, this system may be realized as a single device, terminal, or other device, or may be realized as a network system in which a plurality of devices, terminals, or other devices are communicably connected. In the latter case, each component may belong to any of a plurality of devices, etc., as long as they are communicably connected. The same applies to the trademark support systems of Inventions 3, 4, 6, 8, 9, 11, and 12 below.

[Invention 2] Furthermore, the trademark support system of Invention 2 is the trademark support system of Invention 1, wherein the product information storage means stores product information regarding the first product or service or a group to which it belongs as a deletion rule; A deletion unit is provided for deleting the first product or service or the group to which the first product or service belongs, based on the product information acquired by the product information acquisition unit, based on a deletion rule of the product information storage unit.

With such a configuration, the deletion means deletes the first product or service related to the acquired product information, or the group to which it belongs, based on the deletion rule.

Here, the first goods or services include, for example, goods or services that do not meet the current examination standards or other examinations.

[Invention 3] Furthermore, the trademark support system of Invention 3 includes a product information acquisition means for acquiring product information regarding the first product or service or the group to which it belongs, and product information regarding the first product or service or the group to which it belongs. information including part or all of the product information acquired by the product information acquisition means from the product information storage means that stores second product information regarding the second product or service or the group to which it belongs. a second product information acquisition means for acquiring the second product information corresponding to the second product information; and changing means for changing the first product or service or the group to which it belongs to the second product or service or the group to which it belongs.

With such a configuration, the product information acquisition means acquires product information regarding the first product or service or the group to which it belongs, and the second product information acquisition means acquires part or all of the acquired product information. Second product information corresponding to the included information is acquired. Then, the first product or service related to the obtained product information or the group to which it belongs is changed by the changing means to the second product or service or the group to which it belongs based on the second product information obtained. .

[Invention 4] Furthermore, the trademark support system of Invention 4 includes a product information acquisition means for acquiring product information regarding a first product or service or a group to which the same belongs, and a second product or service related to a second product or service or a group to which the same belongs. Obtaining the second product information corresponding to the product information obtained by the product information obtaining means from a product information storage means that stores information in association with product information regarding the first product or service or the group to which the first product or service belongs. A second product information acquisition means, based on the second product information acquired by the second product information acquisition means, acquires the first product or service related to the product information acquired by the product information acquisition means, or the group to which it belongs. , a changing means for changing the second product or service or the group to which it belongs.

With such a configuration, the product information acquisition means acquires product information regarding the first product or service or the group to which it belongs, and the second product information acquisition means acquires the second product corresponding to the acquired product information. Information is obtained. Then, the first product or service related to the obtained product information or the group to which it belongs is changed by the changing means to the second product or service or the group to which it belongs based on the second product information obtained. .

[Invention 5] Furthermore, in the trademark support system of any one of Inventions 3 and 4, if the corresponding second product information does not exist in the product information storage means, the trademark support system of Invention 5 stores the product information. A deletion unit is provided for deleting the first product or service related to the product information acquired by the acquisition unit, or the group to which the first product or service belongs.

With such a configuration, if the corresponding second product information does not exist in the product information storage means, the deletion means deletes the first product or service related to the acquired product information or the group to which it belongs. .

[Invention 6] Furthermore, the trademark support system of Invention 6 acquires element information regarding the third element, which is at least one element among the third goods or services, the group to which they belong, business content, business operator, and agent. element information acquisition means, the product information acquisition means and change means of invention 1, or the product information acquisition means, second product information acquisition means and change means according to any one of inventions 3 and 4, and the change and product information output means for outputting product information regarding the product or service or the group to which it belongs based on the result of changing the means, and the product information acquisition means is configured to: The first product information is acquired from a second product information storage means that stores first product information regarding the first product or service or the group to which it belongs in association with element information regarding the third element.

With such a configuration, the element information acquisition means acquires the element information, and the product information acquisition means acquires the first product information based on the acquired element information. Then, the first product or service or the group to which it belongs is changed by the changing means to the second product or service or the group to which it belongs, and the product information output means changes the first product or service or the group to which it belongs, and the product information output means changes the first product or service or the group to which it belongs, and the product information output means Based on the change result, product information regarding the product or service or the group to which it belongs is output.

Here, the relationship between the "third goods or services" and the "first goods or services" is such that, for example, the "third goods or services" is one of the goods or services specified in the trademark registration case. Yes, and includes relationships where the "first goods or services" are other goods or services specified in the trademark registration case. The same applies to the trademark support system of invention 8 below.

Furthermore, regarding the relationship between "business content" and "first goods or services," for example, the "first goods or services" are the goods or services specified in the trademark registration case, and the "business content" is , including the relationship that is the business content of the applicant or right holder of the trademark registration case, or the business related thereto. The business content of related businesses includes, for example, (1) business content of businesses with which they have a capital relationship, (2) business content of businesses with which they have a controlling relationship, and (3) business content of businesses with which they have a competitive relationship. , (4) Includes other business details of businesses with which the business entity is related. A business operator may be a natural person or a corporation. The same applies to the trademark support system of invention 8 below.

Furthermore, regarding the relationship between the "business operator" and the "first goods or services," for example, the "first goods or services" are the goods or services specified in the trademark registration case, and the "business operator" , including being the applicant or right holder of the trademark registration case, or a business related thereto. Related businesses include, for example, (1) businesses with which the business entity has a capital relationship, (2) businesses with which the business entity has a controlling relationship, (3) businesses with which the business entity has a competitive relationship, and (4) businesses with which other business entities are related. is included. A business operator may be a natural person or a corporation. The same applies to the trademark support system of invention 8 below.

Furthermore, regarding the relationship between the "agent" and the "first goods or services," for example, the "first goods or services" are the goods or services specified in the trademark registration case, and the "agent" , including the relationship of being an agent for the trademark registration case or an agent related thereto. Examples of related agents include: (1) agents who belong to the same, affiliated, or affiliated patent firm; (2) agents with capital ties; (3) agents with whom there is a controlling relationship; ) Agents in a competitive relationship; (5) Agents with which other entities are related. The agent may be a natural person or a legal entity. The same applies to the trademark support system of invention 8 below.

Further, the element information can be configured as, for example, information for identifying the element (for example, link information such as name, number, ID, code, URL, etc.). Further, the element information can be configured as, for example, characters, numbers, figures, codes, symbols, images, sounds, and other information. Further, the element information can be configured as a keyword related to the element (for example, one or more keywords indicating part of the name of the element). The same applies to the trademark support system of invention 8 below.

In addition, the product information output means outputs product information by, for example, displaying, printing, audio output, writing to a storage device or storage medium, transmitting to an external terminal, vibrating, generating heat, or other methods. be able to. Therefore, output includes at least display, printing, audio output, writing, transmission, vibration, and heat generation. The concept of output is the same below.

In addition, the output form of the product information output means includes, for example, (1) outputting product information regarding the second product or service or the group to which it belongs; (2) a superordinate concept that encompasses the second product or service; (3) Outputting product information regarding products or services of a lower level that are included in the second product or service or the group to which it belongs; (4) (5) Outputting product information regarding a second product or service that conforms to predetermined standards (for example, current examination standards) or the group to which it belongs; This includes outputting product information regarding the product or service that replaced the product or service (product or service before or after rewriting) or the group to which it belongs. The same applies to the trademark support system of invention 8 below.

Further, the second product information storage means stores the first product information by any means and at any time, and may store the first product information in advance or store the first product information. The first product information may be stored by external input or the like during operation of the system, without storing the first product information in advance.

[Invention 7] Furthermore, in the trademark support system of Invention 6, the trademark support system of Invention 6 is configured to provide product information about the product information acquired by the product information acquisition means, the product or service changed by the change means, or the group to which it belongs. The product information output device includes a statistical information acquisition means for obtaining statistical information, and the product information output device outputs product information regarding the product or service or the group to which it belongs based on the change result of the change device and the statistical information acquired by the statistical information acquisition device. Output.

With such a configuration, the statistical information acquisition means acquires the statistical information of the product information, and the product information output means determines the product or service or to which it belongs based on the change result of the change means and the acquired statistical information. Product information related to the group is output.

Here, the statistical information includes, for example, the number of appearances, appearance rate, rank, difference, variance, standard error, standard deviation, deviation value, mean value, median value, mode, kurtosis, skewness, minimum value, Contains maximum values and other statistics.

[Invention 8] Furthermore, the trademark support system of Invention 8 acquires element information regarding the third element, which is at least one element among the third goods or services, the group to which they belong, business content, business operator, and agent. element information acquisition means, the product information acquisition means and change means of invention 1, or the product information acquisition means, second product information acquisition means and change means according to any one of inventions 3 and 4, and the change and a product information output means for outputting product information regarding the product or service or the group to which the first product or service belongs based on the result of changing the means, and the product information obtaining means outputs product information regarding the first product or service or the group to which the first product or service belongs. Estimating the first product information from the element information acquired by the element information acquisition means using a trained model that has been trained based on information in which the element information about the product information and the third element are associated. .

With such a configuration, the element information acquisition means acquires the element information, and the product information acquisition means estimates the first product information from the acquired element information using the learned model. Then, the first product or service or the group to which it belongs is changed by the changing means to the second product or service or the group to which it belongs, and the product information output means changes the first product or service or the group to which it belongs, and the product information output means changes the first product or service or the group to which it belongs, and the product information output means Based on the change result, product information regarding the product or service or the group to which it belongs is output.

[Invention 9] Furthermore, the trademark support system of Invention 9 includes a product information acquisition means for acquiring product information regarding a first product or service or a group to which the first product or service belongs, and a second product or service related to the first product or service. or, based on product information regarding the service or the group to which it belongs, convert the first product or service or the group to which it belongs to the product information acquired by the product information acquisition means to the second product or service or the group to which it belongs. and a changing means for changing.

With such a configuration, the product information acquisition means acquires product information about the first product or service or the group to which it belongs, and the change means acquires the product information about the second product or service or the group to which it belongs based on the product information about the second product or service or the group to which it belongs. Then, the first product or service related to the acquired product information or the group to which it belongs is changed to the second product or service or the group to which it belongs.

[Invention 10] Furthermore, the trademark support system of Invention 10 includes a product information acquisition means for acquiring product information regarding a first product or service or a group to which the same belongs, and a second product or service related to a second product or service or a group to which the same belongs. and estimating means for estimating the second product information from the product information acquired by the product information acquisition means using a learned model that has been trained based on the information.

With such a configuration, the product information acquisition means acquires product information regarding the first product or service or the group to which it belongs, and the estimation means uses the learned model to extract the second product information from the acquired product information. Product information is estimated.

[Invention 11] Further, the trademark support system of Invention 11 includes a product information acquisition means for acquiring product information regarding the product or service or the group to which the same belongs, and a product information acquisition unit that acquires product information regarding the product or service or the group to which the same belongs. and a deletion means for deleting the product or service related to the product information acquired by the acquisition means, or the group to which the same belongs.

With such a configuration, the product information acquisition means acquires product information about the product or service or the group to which it belongs, and the deletion means deletes the acquired product based on the product information about the product or service or the group to which it belongs. The product or service related to the information or the group to which it belongs will be deleted.

Here, the products or services related to the product information on which the deletion means is based include, for example, products or services that do not conform to current screening standards or other screening.

[Invention 12] Furthermore, the trademark support system of Invention 12 includes the changing means according to any one of Inventions 1 to 9, the estimating means according to Invention 10, or the trademark support system according to any one of Inventions 2, 5, and 11. Equipped with deletion means.

As explained above, according to the trademark support system of Inventions 1, 6, or 8, if, for example, product information that conforms to the examination is adopted as product information regarding the second product or service or the group to which it belongs in the change rule, defects can be resolved. You can get product information with little information.

Further, according to the trademark support system of invention 2, if, for example, product information that does not meet the examination is adopted as product information regarding the first product or service in the deletion rule or the group to which it belongs, product information with fewer defects can be obtained.

Furthermore, according to the trademark support system of invention 3, 4, 6, or 8, if, for example, product information that meets the examination is adopted as the second product information, product information with fewer defects can be obtained.

Furthermore, according to the trademark support system of Invention 6 or 8, if information on trademark registration cases is adopted as the first product information and element information, information on products or services that may be handled in future business, or the group to which they belong, can be used as the first product information and element information. You can get product information.

Furthermore, according to the trademark support system of invention 7, product information is output based on statistical information, so product information can be statistically understood.

Furthermore, according to the trademark support system of invention 8, since estimation is performed using a trained model, it can be expected that product information corresponding to unknown elements can be obtained.

Furthermore, according to the trademark support system of invention 9, if, for example, product information that meets the examination is adopted as the product information on which the changing means is based, product information with fewer defects can be obtained.

Furthermore, according to the trademark support system of invention 10, if, for example, product information that meets the examination is adopted as the second product information, product information with fewer defects can be obtained. Furthermore, since estimation is performed using a trained model, it can be expected that product information corresponding to unknown product information will be obtained.

Furthermore, according to the trademark support system of invention 11, if, for example, product information that does not meet the examination is adopted as the product information on which the deletion means is based, product information with fewer defects can be obtained.

1 is a diagram showing a hardware configuration of a trademark support device 100. FIG. FIG. 2 is a diagram illustrating a portion of the contents of a trademark gazette. 4 is a diagram showing the data structure of a trademark registration table 400. FIG. 4 is a diagram showing the data structure of a product table 420. FIG. 4 is a diagram showing a data structure of a product correspondence table 440. FIG. 4 is a diagram showing a data structure of a change rule table 460. FIG. 5 is a diagram showing the data structure of a compatible product table 480. FIG. It is a flowchart which shows related product search processing. This is a screen showing related product search results. This is a screen for explaining the case of selecting related products (services). This is a screen showing a list of products before the change. It is a flowchart which shows product change processing. This is a screen for explaining the case of changing products (services). This is a screen for explaining the case of changing the classification. This is a screen for explaining a case where a similar group code is changed. This is a screen for explaining the case of changing to two products (services). This is a screen for explaining the case of deleting a product (service). It is a flowchart which shows product change processing. This is a screen for explaining a case where a new change rule is set by word search. This is a screen for explaining a case where a new change rule is set by searching for the same code. This is a screen showing a changed product list. It is a flowchart which shows related product search processing. This is a screen showing related product search results. 4 is a diagram showing a data structure of a product list 490. FIG. It is a flowchart which shows product change processing. This is a product list 490 before and after the change. It is a diagram showing a portion of the contents extracted from the trademark gazette and a certified copy of the corporate register. It is a diagram showing the data structure of a business details table 600b. It is a diagram showing the data structure of a business content correspondence table 620b. It is a flowchart which shows related product search processing. This is a screen showing related product search results. FIG. 2 is a diagram illustrating a portion of the contents of a trademark gazette. It is a diagram showing the data structure of a rights holder table 600c. It is a diagram showing the data structure of a rights holder correspondence table 620c. It is a flowchart which shows related product search processing. This is a screen showing related product search results. FIG. 2 is a diagram illustrating a portion of the contents of a trademark gazette. It is a diagram showing the data structure of a proxy table 600d. It is a diagram showing the data structure of a proxy correspondence table 620d. It is a flowchart which shows related product search processing. This is a screen showing related product search results. 3 is a flowchart illustrating learned model generation processing. FIG. 2 is a block diagram showing the process of generating and using a trained model. It is a flowchart which shows related product estimation processing. This is a screen showing related product estimation results. It is a flowchart which shows related product estimation processing. This is a screen showing related product estimation results. It is a flowchart which shows related product estimation processing. This is a screen showing related product estimation results. It is a flowchart which shows related product estimation processing. This is a screen showing related product estimation results. FIG. 2 is a block diagram showing the process of generating and using a trained model. It is a flowchart which shows related conformity product estimation processing. FIG. 2 is a block diagram showing the process of generating and using trained models 1 and 2. FIG. FIG. 1 is a block diagram showing the configuration of a network system.

[First embodiment]
A first embodiment of the present invention will be described below. 1 to 21 are diagrams showing this embodiment.

(Definition of terms)
In the following explanation, goods or services will be referred to as "goods (services)," and goods or services designated in trademark registration will be referred to as "designated goods (services)." In addition, products (services) that comply with the current examination standards and other examinations are referred to as conforming products (services), and products (services) that do not comply with the current examination standards and other examinations are referred to as non-conforming goods (services).

First, the configuration of this embodiment will be explained.
FIG. 1 is a diagram showing the hardware configuration of the trademark support device 100.

As shown in FIG. 1, the trademark support device 100 includes a CPU (Central Processing Unit) 30 that controls calculations and the entire system based on a control program, and a ROM (ROM) that stores a control program for the CPU 30 in a predetermined area in advance. Read Only Memory) 32, RAM (Random Access Memory) 34 for storing data read from the ROM 32, etc. and calculation results necessary in the calculation process of the CPU 30, and an I/O interface for data input/output to external devices. /F (InterFace) 38, and these are connected to each other by a bus 39, which is a signal line for transferring data, so that data can be exchanged.

The I/F 38 includes, as external devices, an input device 40 consisting of a keyboard, a mouse, etc. that can input data as a human interface, a storage device 42 that stores data, tables, etc. as files, and a screen input device 42 that stores data, tables, etc. as files. A display device 44 that displays .

Next, the data structure of the storage device 42 will be explained.
FIG. 2 is a diagram showing a portion of the contents of the trademark publication.

In this embodiment, the registration number, classification, designated goods (services), and similar group codes are extracted from the trademark gazette, and the extracted information is registered in tables 400, 420, and 440. Then, a search process is executed using the tables 400, 420, and 440. An overview of the method of registering the tables 400, 420, and 440 will be explained using FIG.

The storage device 42 stores trademark publication data that records the contents of trademark publications.
In the example of FIG. 2, in the trademark registration with the registration number "9,999,981," the 14th class designated product "jewelry box" and the 42nd class designated service "provision of computer programs" are designated. The designated product "jewelry box" is assigned the similar group code "20A01", and the designated service "provision of computer programs" is assigned the similar group code "42X11". In this case, the registration number "9,999,981" is registered in the trademark registration table 400. In the product table 420, category "14", designated product "jewelry box" and similar group code "20A01" are included in one record, category "42", designated service "provision of computer programs" and similar group code "42X11" in one record. The product correspondence table 440 includes a record of the registration number "9,999,981" and the designated product "Jewelry Box" in the product table 420 as one record, and a record of the registration number "9,999,981" and the designated service "Providing computer programs" in the product table 420. ” are each registered as one record.

Furthermore, in the trademark registration with registration number "9,999,982," the designated goods of Class 14, "Personal Accessories," and the designated goods of Class 30, "Confectionery," are designated. The designated product "personal accessories" is assigned a similar group code "21A02 21B01", and the designated product "sweets" is assigned a similar group code "30A01". In this case, the registration number "9,999,982" is registered in the trademark registration table 400. In the product table 420, category "14", designated product "Personal Accessories" and similar group code "21A02 21B01" are stored in one record, and category "30", designated product "Confectionery" and similar group code "30A01" are stored in one record. register each in one record. In the product correspondence table 440, one record contains the registration number "9,999,982" and the specified product "Personal Accessories" in the product table 420, and one record contains the registration number "9,999,982" and the specified product "Confectionery" in the product table 420. register each in one record.

Similarly, for trademark registrations with registration numbers "9,999,983" to "9,999,989", registration numbers, categories, designated goods (services), and similar group codes are registered in tables 400, 420, and 440.

FIG. 3 is a diagram showing the data structure of the trademark registration table 400.
The storage device 42 stores a trademark registration table 400, as shown in FIG.

One record is registered in the trademark registration table 400 for each trademark registration. Each record includes a field 402 for registering a file ID uniquely assigned to a trademark registration, and a field 404 for registering a registration number.

The example in FIG. 3 corresponds to the example in FIG. 2, and the records in the first to ninth lines are registration information of registration numbers "9,999,981" to "9,999,989".

FIG. 4 is a diagram showing the data structure of the product table 420.
The storage device 42 stores a product table 420, as shown in FIG.

In the product table 420, one record is registered for each combination of category, designated product (service), and similar group code. Each record includes a field 422 for registering a product ID uniquely assigned to a combination of category, designated product (service), and similar group code, a field 424 for registering the category to which the designated product (service) belongs, and a field 424 for registering the category to which the designated product (service) belongs. A field 426 for registering a designated product (service) and a field 428 for registering a similar group code assigned to a designated product (service).

The example in FIG. 4 corresponds to the example in FIG. 2. For example, the record in the first line is the registration information for the registration number "9,999,982", and the record in the second line is the registration information for the registration number "9,999,984" and "9,999,987". Registration information, the record on the 3rd line is the registration information of registration numbers "9,999,983" and "9,999,987", the record on the 4th line is the registration information of registration numbers "9,999,986" and "9,999,989", the record on the 5th line is the registration number This is the registered information of "9,999,988".

FIG. 5 is a diagram showing the data structure of the product correspondence table 440.
The storage device 42 stores a product correspondence table 440, as shown in FIG.

In the product correspondence table 440, one record is registered for each trademark registration and each designated product (service). Each record includes a field 442 for registering a file ID, and a field 444 for registering a product ID of a designated product (service) related to trademark registration specified by the file ID.

The example in FIG. 5 corresponds to the example in FIG. 2. For example, the records in the first and second lines are the registration information for the registration number "9,999,981," and the records in the third and fourth lines are the registration information for the registration number "9,999,982." This is the registration information. By internally joining tables 400, 420, and 440, registration information for each row of the trademark publication shown in FIG. 2 can be obtained.

FIG. 6 is a diagram showing the data structure of the change rule table 460.
The storage device 42 stores a change rule table 460, as shown in FIG.

In the change rule table 460, one record is registered for each change rule. Each record includes a field 462 for registering a change rule ID that is uniquely assigned to the change rule, a field 464 for registering the applicable condition category, a field 466 for registering the product (service) of the applicable condition, and a field 466 for registering the applicable condition category. A field 468 for registering a similar group code, a field 470 for registering the category to which a conforming product (service) belongs, a field 472 for registering a conforming product (service), and a field 472 for registering a similar group code assigned to a conforming product (service). field 474.

In the change rule, the applicable condition category, product (service), and similar group code are used to set the conditions to which the change rule is applied. Only classification can be set as an application condition. In this case, the change rule will be applied to all products (services) that belong to the category of applicable conditions. If only the product (service) is set, the change rule will be applied to the same product (service) as the product (service) of the applicable condition, regardless of the classification and similar group code. If only the similar group code is set, the change rule will be applied to all products (services) to which the similar group code of the application condition is assigned. When a category and a product (service) are set, regardless of the similar group code, the product (service) that belongs to the category of applicable conditions and is the same as the product (service) of applicable conditions Change rules are applied. When products (services) and similar group codes are set, regardless of classification, the products (services) to which the similar group code of the applicable conditions is assigned are the same as the products (services) of the applicable conditions ( The change rules will be applied to (services). When a classification and a similar group code are set, the change rule is applied to all products (services) that belong to the classification of the applicable condition and to which the similar group code of the applicable condition is assigned. If the category, product (service), and similar group code are set, the product (service) belongs to the applicable condition category and is assigned the applicable condition similar group code, and is not the same as the applicable condition product (service). The change rule is applied to the same product (service). As an application condition, for example, a non-conforming product (service) or its classification or similar group code is set.

In the change rule, the information on the conforming product (service) sets the classification, product (service), and similar group code to which the product (service) to which the change rule is applied is changed. For information on conforming products (services), the category, product (service), and similar group code are all set, but they can also be omitted. If the classification, product (service), and similar group code are set, the product (service) to which the change rule is applied (including its classification and similar group code) is the conforming product (service) and its classification and similar group code. will be changed to On the other hand, if the category, product (service), and similar group code are not set, the product (service) to which the change rule is applied (including its category and similar group code) is deleted. That is, if the classification, product (service), and similar group code are not set, the change rule functions as a deletion rule.

In the example of FIG. 6, the record in the first line has the category "42", product (service) "design idea (excluding advertising related)" and similar group code "42P01" as applicable conditions. As information on conforming products (services), category "42", product (service) "design idea", and similar group code "42P01" are registered. This means that the product (service) "Design idea (excluding advertising related)" which belongs to category "42" and is assigned the similar group code "42P01" is classified as "42" and the product (service) " ``Design'' and similar group code ``42P01.'' The record in the first line is a change rule that changes only the product (service) because the classification and similar group code are the same for the applicable condition product (service) and the conforming product (service).

The record on the second line is a change rule that changes only the similar group code, since the classification and product (service) are the same for the applicable condition product (service) and the conforming product (service).

The record in the third line is a change rule that changes only the classification because the product (service) and similar group code are the same for the product (service) and the compatible product (service) of the applicable condition.

The record in the fourth line is a change rule for changing the category and product (service) because the similar group code is the same for the product (service) of the applicable condition and the compatible product (service). Furthermore, the change rule can set one or more compatible products (services) for one product (service) of the application condition. The record on the fourth line is a change rule in which two compatible products (services) are set for one product (service). As a result, category "30" and product (service) "Confectionery" are changed to (1) Category "29" and product (service) "Confectionery (limited to those whose main ingredients are fruits, vegetables, beans, or nuts)." and (2) Category "30" and the product (service) will be changed to two products (services): "Confectionery (excluding those whose main ingredients are fruits, vegetables, beans, or nuts)."

The record on the 5th line does not have any conforming products (services) set, so it functions as a deletion rule, and class "30", product (service) "candied", and similar group code "30A01" are deleted. .

FIG. 7 is a diagram showing the data structure of the compatible product table 480.
The storage device 42 stores a compatible product table 480, as shown in FIG.

In the compatible product table 480, one record is registered for each combination of category, compatible product (service), and similar group code. Each record includes a field 482 for registering a product ID uniquely assigned to a combination of category, conforming product (service), and similar group code, a field 484 for registering the category to which the conforming product (service) belongs, and a field 484 for registering the category to which the conforming product (service) belongs. The field 486 includes a field 486 for registering a compatible product (service), and a field 488 for registering a similar group code assigned to a compatible product (service).

In the conforming product table 480, conforming products (services) including some or all of the products (services) are registered. For example, "Confectionery (limited to those whose main ingredients are fruits, vegetables, beans, or nuts)" is a conforming product (service) that includes all of the product (service) "Confectionery," but the product (service) "Confectionery" is "Design ideas" is registered as a conforming product (service) that includes part of "(excluding those related to advertising)".

Next, the operation of this embodiment will be explained.
FIG. 8 is a flowchart showing related product search processing.

FIG. 9 is a screen showing related product search results.
The related product search process is a process executed in response to a request from a user, and when executed by the CPU 30, the process first moves to step S100, as shown in FIG. In step S100, products (services) are input. In the example of FIG. 9, the user inputs the product (service) "confectionery" into the text box 500, and clicks the search button 502 to input the product (service).

Next, the process moves to step S102. In step S102, the classification, product (service), and similar group code (hereinafter referred to as "related product (service)") corresponding to the product (service) input in step S100 are searched from the tables 400, 420, and 440. Specifically, the tables 400, 420, and 440 are internally joined to obtain the corresponding product (service) and other designated products (services) in the trademark registration in which the input product (service) is specified, as well as their classification and Search for similar group codes. In the examples shown in Figures 2 to 5, if you enter the product (service) "Dairy products", the trademark registrations with registration numbers "9,999,983" and "9,999,987" will correspond, but the products (services) specified in these trademark registrations will correspond. ), etc., for the registration number "9,999,983", (1) classification "29", goods (services) "dairy products" and similar group code "31D01", (2) classification "42", goods (services) "drafting tools" "loan" and similar group code "42X31" for registration number "9,999,987", (3) category "29", goods (services) "dairy products" and similar group code "31D01", (4) category "30" , product (service) ``sugar pickle'' and similar group code ``30A01'', a total of 4 items are searched.

Next, the process moves to step S104. In step S104, the number of appearances of the related products (services) found in step S102 is calculated for each of the same contents. In the above example in which four items were retrieved in step S102, (1) the number of occurrences of the related product (service) "dairy products" is "2", and (2) the appearance of the related product (service) "rental of drafting tools". The number of occurrences is "1", and the number of appearances of (3) related product (service) "sugar pickling" is calculated as "1". The number of appearances indicates the degree of association with the input product (service).

Note that as more specific processing in steps S102 and S104, the processing disclosed in Japanese Patent Application Publication No. 2014-132394 can be adopted.

Next, the process moves to step S106. In step S106, the related products (services) found in step S102 and the number of appearances calculated in step S104 are associated with each other and displayed in descending order of the number of appearances. In the example of FIG. 9, related products (services) and the number of appearances are associated and displayed in the search result display area 504 in descending order of the number of appearances.

When the process of step S106 is completed, the series of processes ends.
FIG. 10 is a screen for explaining the case of selecting related products (services).

As shown in FIG. 10, the search result display area 504 is provided with check boxes 506 for selecting related products (services). The user can select related products (services) by checking the checkbox 506. The selected related products (services) are added to the product list, and a list of product lists is displayed in the product list display area 508. In the product list display area 508, related products (services) are sorted and displayed in order of category and similar group code.

Next, the case of changing or deleting products (services) in the product list will be explained.
FIG. 11 is a screen showing the product list before the change.

When the user clicks the edit button 510 on the screen shown in FIG. 10, the screen changes to the screen shown in FIG. 11 and the product list can be edited. On the screen in FIG. 11, one of two types of icons 516 and 518 is displayed for each product (service). The icon 516 indicates that a change rule that can be applied to the product (service) exists in the change rule table 460. The icon 518 indicates that there is no change rule applicable to the product (service) in the change rule table 460. In other words, when transitioning to the screen shown in Figure 11, for each product (service) in the product list, it is determined whether that product (service) corresponds to the applicable conditions of each change rule, and if there is one or more applicable change rules. If there is a corresponding change rule, an icon 516 is displayed, and if there is no corresponding change rule, an icon 518 is displayed.

Next, a case will be described in which a product (service) is changed based on a change rule.
FIG. 12 is a flowchart showing the product change process.

FIG. 13 is a screen for explaining a case where a product (service) is changed.
When the user clicks on the icon 516, the product change process is executed for the product (service) corresponding to the clicked icon 516 among the products (services) in the product list (hereinafter referred to as "change target product (service)"). When the process is executed by the CPU 30, the process first moves to step S200, as shown in FIG.

In step S200, the product (service) to be changed is displayed in the display area 520, and the conforming product (service) set in the change rule corresponding to the product (service) to be changed (including its classification and similar group code). is displayed in the display area 522 as a candidate for the product (service) to be changed. In the example of FIG. 13, when the icon 516 of the product (service) "Design idea (excluding advertising related)" is clicked in the product list of FIG. 11, this product (service) is selected as the product (service) to be changed. This shows the result of the product change processing being performed after the settings have been made. According to the change rule table 460 in FIG. 6, the change target product (service) "Design idea (excluding those related to advertising)" is change rule 1 (means the change rule with change rule ID "1". The same applies hereinafter) ) is applicable, so the conforming product (service) "Design idea" set in change rule 1, its classification "42" and similar group code "42P01" are displayed as candidates.

Next, the process moves to step S202. In step S202, it is determined whether word search is selected. If it is determined that word search is selected (YES), the process moves to step S204. In the example of FIG. 13, when the word search tab 524 is selected, it is determined that word search is selected.

In step S204, word search processing is executed. As the first word search process, for example, using the product (service) to be changed as a search key, the compatible product table 480 is searched for a compatible product (service) (including its classification and similar group code) corresponding to the search key. do. In this case, you can perform an exact match search to search for compatible products (services) that exactly match the product (services) to be changed, or a partial match search to search for compatible products (services) that include the product (services) to be changed. can.

As the second word search process, for example, when the character string of the product (service) to be changed is divided into multiple elements by morphological analysis etc., each element is used as a search key, and the compatible product (service) corresponding to the search key is used. (including its classification and similar group code) from the conforming product table 480. In this case, an OR search can be performed to search for a conforming product (service) to which any one of the plurality of elements applies, or an AND search can be performed to search for a conforming product (service) to which any of the plurality of elements corresponds. As for whether or not each element is applicable, a complete match search or a partial match search can be performed as in the first word search process. When performing a search (for example, an OR search) in which multiple identical conforming products (services) are obtained as search results, the number of appearances for each identical content of the found conforming products (services) is calculated as in the process of step S104. However, the found compatible products (services) can also be displayed in descending order of appearance frequency.

On the other hand, if it is determined in step S202 that word search is not selected (NO), the process moves to step S206. In the example of FIG. 13, if the same code search tab 526 is selected, it is determined that word search is not selected, and the process moves to step S206.

In step S206, identical code search processing is executed. For the same code search process, for example, the similar group code of the product (service) to be changed or the similar group code of the conforming product (service) set in the change rule corresponding to the product (service) to be changed is used as a search key. The compatible product table 480 is searched for a compatible product (service) (including its classification and similar group code) corresponding to the search key. In this case, an exact match search is performed to search for compatible products (services) to which only the similar group code of the search key is assigned, or a compatible product (service) to which multiple similar group codes including the similar group code of the search key are assigned is used. You can perform a partial match search to search for services). In addition, when multiple similar group codes are included in the search key, OR search is performed to search for conforming goods (services) to which any of the similar group codes in the search key is assigned, or An AND search can be performed to search for compatible products (services) that are assigned to any of them. When performing a search (for example, an OR search) in which multiple identical conforming products (services) are obtained as search results, the number of appearances for each identical content of the found conforming products (services) is calculated as in the process of step S104. However, the found compatible products (services) can also be displayed in descending order of appearance frequency.

Next, the process moves to step S208. In step S208, the compatible products (services) found in steps S204 and S206 are displayed as candidates for products (services) to be changed. In the example in Figure 13, when the product (service) to be changed, "Design idea (excluding advertising-related items)" is divided into multiple elements, each element is used as a search key to perform an OR search. Each conforming product (service) that has been found is displayed as a candidate in the change candidate display area 528.

Next, the process moves to step S210. In step S210, the product (service) to be changed is selected from the candidates for the product (service) to be changed displayed in steps S200 and S208. In the example of FIG. 13, a check box 530 is displayed for each candidate product (service) to be changed. The user selects the product (service) to be changed by clicking the check box 530.

Next, the process moves to step S212. In step S212, it is determined whether or not a change in the product (service) to be changed has been requested, and if it is determined that a change in the product (service) to be changed has been requested (YES), the process moves to step S212. If it is determined that it is not (NO), the process moves to step S210. In the example of FIG. 13, the user requests a change by clicking the OK button 532.

Next, the process moves to step S214, and the change target product (service) is changed to the change destination product (service) selected in step S210 (including its classification and similar group code). If multiple target products (services) are selected, the target product (services) is changed to multiple products (services). However, if no conforming product (service) is set in the change rule corresponding to the product (service) to be changed, the product (service) to be changed is deleted from the product list. In the example of FIG. 13, when the user selects the conforming product (service) of change rule 1 and clicks the OK button 532, the user can classify the applicable product (service) and the conforming product (service) in change rule 1 into similar groups. Since the codes are the same, the product (service) to be changed, ``Design idea (excluding those related to advertising)'', is changed to ``Design idea''.

When the process in step S214 is completed, the series of processes ends.
Next, a case will be described in which the classification is changed based on the change rule.

FIG. 14 is a screen for explaining the case of changing the classification.
In the example of FIG. 14, when the icon 516 of the product (service) "supplement" is clicked in the product list of FIG. 11, this product (service) is set as the product (service) to be changed and the product change process is executed. Showing results. According to the change rule table 460 in FIG. 6, the change rule of change rule 3 applies to the change target product (service) "supplement", so the conforming product (service) "supplement" set in change rule 3 and its Category "5" and similar group code "32F15" are displayed as candidates. When the user selects a conforming product (service) for change rule 3 and clicks the OK button 532, the user selects a conforming product (service) for change rule 3 and clicks the OK button 532. In change rule 3, the product (service) and similar group code are the same for the applicable condition and the conforming product (service). Therefore, the category "29" of the product (service) to be changed is changed to "5".

Next, a case will be described in which the similar group code is changed based on the change rule.
FIG. 15 is a screen for explaining the case of changing the similar group code.

In the example of FIG. 15, when the icon 516 of the product (service) "jewelry cosmetic case" is clicked in the product list of FIG. 11, this product (service) is set as the product (service) to be changed and the product change process is performed. shows the result of execution. According to the change rule table 460 in FIG. 6, change rule 2 applies to the change target product (service) "jewelry cosmetic case", so change rule 2 applies to the change target product (service) "jewelry cosmetic case". ``Fashion case'', its category ``14'' and similar group code ``21A02 21B01 21D01'' are displayed as candidates. When the user selects the conforming product (service) of change rule 2 and clicks the OK button 532, the user selects the conforming product (service) of change rule 2 and clicks the OK button 532. In change rule 2, the classification and product (service) of the applicable condition product (service) and the conforming product (service) are the same. Therefore, the similar group code "20A01" of the product (service) to be changed is changed to "21A02 21B01 21D01".

Next, a case will be described in which two products (services) are changed based on the change rule.
FIG. 16 is a screen for explaining the case of changing to two products (services).

In the example of FIG. 16, when the icon 516 of the product (service) "confectionery" is clicked in the product list of FIG. 11, this product (service) is set as the product (service) to be changed and the product change process is executed. Showing results. According to the change rule table 460 in FIG. 6, change rule 4 applies to the change target product (service) "confectionery", so as the conforming product (service) etc. set in change rule 4, (1) conforming product (Services) "Confectionery (limited to those whose main ingredients are fruits, vegetables, legumes, or nuts)" and its classification "29" and similar group code "30A01", (2) Conforming products (Services) "Confectionery (Fruits・Excluding those whose main ingredients are vegetables, beans, or nuts), its category ``30'' and the similar group code ``30A01'' are displayed as candidates. When the user selects one or more of the products (services) conforming to change rule 4 and clicks the OK button 532, the product (service) to be changed is changed. If you select both products (services) to change, the product (service) “Confectionery” to be changed is (1) category “29” and the product (service) “Confectionery (mainly fruits, vegetables, legumes or nuts)”. (2) Classification ``30'' and two products (services): ``Confectionery (excluding those whose main ingredients are fruits, vegetables, beans, or nuts).'' will be changed to If only one is selected, the product (service) and its classification are changed to the selected one.

Next, a case will be described in which a product (service) is deleted based on a change rule.
FIG. 17 is a screen for explaining the case of deleting a product (service).

In the example of FIG. 17, when the icon 516 of the product (service) "candied" is clicked in the product list of FIG. 11, this product (service) is set as the product (service) to be changed and the product change process is executed. The results are shown below. According to the change rule table 460 in FIG. 6, change rule 5 applies to the change target product (service) "sugar pickling," but since no conforming product (service) is set for change rule 5, it is displayed as a candidate for deletion. be done. When the user selects change rule 5 and clicks the OK button 532, change rule 5 functions as a deletion rule, and the change target product (service) is deleted from the product list.

Next, a case will be described in which a new change rule is set by word search.
FIG. 18 is a flowchart showing the product change process.

FIG. 19 is a screen for explaining a case where a new change rule is set by word search.

The product change process is a process that is executed when the user clicks the icon 518 on the product (service) to be changed that corresponds to the clicked icon 518 among the products (services) in the product list, and is executed by the CPU 30. , as shown in FIG. 18, first, the process moves to step S216 via steps S202 to S214.

In step S216, a change rule is registered in the change rule table 460 in which the product (service) to be changed is used as an application condition, and the product (service) to be changed selected in step S210 is associated as a compatible product (service). Finish the process. In the example of FIG. 19, since the word search tab 524 is selected, the compatible products (services) found through the word search process are displayed as candidates for the product (services) to be changed. When the user selects the product (service) to be changed and clicks the OK button 532, the product (service) to be changed is changed to the selected product (service) to be changed, and the product (service) to be changed is changed to the selected product (service) to be changed. ) and is registered as a new change rule.

Next, a case will be described in which a new change rule is set by searching for the same code.
FIG. 20 is a screen for explaining a case where a new change rule is set by searching for the same code.

FIG. 21 is a screen showing a changed product list.
In the example of FIG. 20, since the same code search tab 526 is selected, the compatible products (services) found by the same code search process are displayed as candidates for the product (services) to be changed. When the user selects the product (service) to be changed and clicks the OK button 532, the product (service) to be changed is changed to the selected product (service) to be changed, and the product (service) to be changed is changed to the selected product (service) to be changed. ) and is registered as a new change rule.

When each product (service) in the product list is changed as described above, all the products (services) in the product list are edited into conforming products (services), as shown in FIG. In the product list, products (services) are sorted and displayed according to classification and similar group code.

Next, the effects of this embodiment will be explained.
In this embodiment, a change target product (service) is changed to a compatible product (service) based on a change rule table 460 in which products (services) with applicable conditions and compatible products (services) are associated and registered as change rules. .

As a result, products (services) with few defects can be obtained.
Furthermore, in this embodiment, the product (service) to be changed is deleted based on the change rule table 460 in which non-conforming products (services) are registered as deletion rules.

As a result, product information with few defects can be obtained.
Furthermore, in this embodiment, from the conforming product table 480 that registers conforming products (services) that include some or all of the products (services), information that includes some or all of the products (services) to be changed is selected. Search for compatible products (services), and change target products (services) to compatible products (services) based on the found compatible products (services).

As a result, products (services) with few defects can be obtained.
Furthermore, in this embodiment, a compatible product (service) corresponding to the similar group code of the product (service) to be changed is searched from the compatible product table 480 in which compatible products (services) and their similar group codes are registered in association with each other. Then, the product (service) to be changed is changed to a compatible product (service) based on the found compatible product (service).

As a result, products (services) with few defects can be obtained.
Furthermore, in this embodiment, from the compatible product table 480 in which compatible products (services) and their similar group codes are registered in association with each other, a compatible product (service) corresponding to the similar group code of the compatible product (service) in the change rule is selected. , and change the target product (service) to a compatible product (service) based on the found compatible product (service).

As a result, products (services) with few defects can be obtained.
Furthermore, in this embodiment, a product (service) is input, a product (service) corresponding to the input product (service) is searched from tables 400, 420, and 440, related products (services) are displayed, and related Set the product (service) as the product (service) to be changed.

As a result, products (services) that can potentially be handled in future business and have few defects can be obtained.

Furthermore, in this embodiment, the number of appearances of related products (services) for each of the same contents is calculated, and the found related products (services) are displayed in descending order of the number of appearances.

As a result, products (services) that may be handled in future business can be obtained.
In this embodiment, the storage device 42 corresponds to the product information storage means of inventions 1 to 4 or the second product information storage means of invention 6, and step S100 corresponds to the element information acquisition means of invention 6, Step S102 corresponds to the product information acquisition means of inventions 1 to 4, 6, 7, 9, or 11. Furthermore, step S104 corresponds to the statistical information acquisition means of invention 7, step S106 corresponds to the product information output means of invention 6 or 7, and step S214 corresponds to invention 1, 3, 4, 6, 7, or 9. This corresponds to the changing means or the deletion means of invention 2 or 11.

Further, in this embodiment, the classification or similar group code corresponds to the groups of inventions 1 to 4, 6, 7, 9, or 11.

In this embodiment, step S204 corresponds to the second product information acquisition means of the third invention.

In this embodiment, step S206 corresponds to the second product information acquisition means of the fourth invention.

[Second embodiment]
Next, a second embodiment of the present invention will be described. 22 and 23 are diagrams showing this embodiment.

This embodiment differs from the first embodiment in that the related products (services) found in step S102 are automatically changed to compatible products (services). Hereinafter, only the different parts from the first embodiment will be explained, and the explanation of the overlapping parts will be omitted.

First, the operation of this embodiment will be explained.
FIG. 22 is a flowchart showing related product search processing.

FIG. 23 is a screen showing related product search results.
The CPU 30 executes the related product search process shown in FIG. 22 instead of the related product search process shown in FIG. 8 . The related product search process is a process executed in response to a request from a user, and when executed by the CPU 30, as shown in FIG. 22, the process first proceeds to step S108 via steps S100 to S104.

In step S108, based on the change rule table 460, among the related products (services) found in step S102, those for which a corresponding change rule exists are changed to conforming products (services) set in the change rule. do. However, if a conforming product (service) is not set in the change rule applicable to the related product (service), the related product (service) is deleted.

In the example in Figure 23, the related product (service) "Confectionery" is (1) category "29" and the product (service) "Confectionery (limited to those whose main ingredients are fruits, vegetables, beans, or nuts)" and ( 2) The category “30” and the product (service) are changed to two products (services): “Confectionery (excluding those whose main ingredients are fruits, vegetables, beans, or nuts)” (in the search result display area 504). 1st, 2nd line and change rule 4). The classification of the related product (service) "Supplement" is changed to "5" (fifth line of search result display area 504 and change rule 3). The similar group code of the related product (service) "jewelry cosmetic case" is changed to "21A02 21B01 21D01" (line 12 of search result display area 504 and change rule 2). The related product (service) "Design idea (excluding those related to advertising)" is changed to "Design idea" (line 13 of search result display area 504 and change rule 1). The related product (service) "Sugar pickling" is deleted (change rule 5).

When the process in step S108 is completed, the process moves to step S106, where the related products (services) changed in step S108 and the number of appearances calculated in step S104 are displayed in descending order of the number of appearances in association with each other, and the series of processes ends. do.

Next, the effects of this embodiment will be explained.
In this embodiment, a product (service) is input, a product (service) corresponding to the input product (service) is searched from the tables 400, 420, and 440, and related products (services) are searched based on the change rule table 460. Change to a conforming product (service) and display the changed related product (service).

As a result, products (services) that can potentially be handled in future business and have few defects can be obtained.

In this embodiment, step S108 corresponds to the changing means of inventions 1, 6, 7, or 9, or the deletion means of inventions 2 or 11.

[Third embodiment]
Next, a third embodiment of the present invention will be described. 24 to 26 are diagrams showing this embodiment.

This embodiment differs from the first embodiment in that related products (services) are not searched for, displayed, and selected, but the products (services) in the product list 490 are simply changed.

First, the configuration of this embodiment will be explained.
FIG. 24 is a diagram showing the data structure of the product list 490.

The storage device 42 stores a product list 490, as shown in FIG.
In the product list 490, for each product (service), its classification, the product (service), and its similar group code are registered in correspondence with each other in one line. In the example of FIG. 24, for example, the second line contains the product (service) "presentation box for jewelry", its classification "14", and similar group code "20A01", and the fifth line contains the product (service) ) "Supplements" and its category "29" and similar group code "32F15" are registered in the 6th line, and in the 6th line, goods (services) "Confectionery" and its category "30" and similar group code "30A01" are registered. ing.

Next, the operation of this embodiment will be explained.
FIG. 25 is a flowchart showing the product change process.

FIG. 26 shows the product list 490 before and after the change.
The CPU 30 executes the product change process shown in FIG. 25 instead of the related product search process shown in FIG. The product change process is a process executed in response to a request from a user, and when executed by the CPU 30, as shown in FIG. , and the process moves to step S302.

In step S302, based on the change rule table 460, the products (services) in the product list 490 for which a corresponding change rule exists are changed to conforming products (services) set in the change rule. However, if a conforming product (service) is not set in the change rule corresponding to a product (service) in the product list 490, that product (service) is deleted. The changed products (services) are sorted by category and similar group code.

In the example of FIG. 26, the classification of the product (service) "Supplement" is changed to "5" (first line after change and change rule 3). The similar group code of the product (service) "Jewelry cosmetic case" is changed to "21A02 21B01 21D01" (4th line after change and change rule 2). The product (service) "Confectionery" is (1) Category "29" and the product (service) "Confectionery (limited to those whose main ingredients are fruits, vegetables, beans, or nuts)" and (2) Category "30" and The product (service) will be changed to two products (services): "Confectionery (excluding those whose main ingredients are fruits, vegetables, beans, or nuts)" (5th and 7th line after change and change rule 4) ). Product (service) "Design ideas (excluding those related to advertising)" is changed to "Design ideas" (line 9 after change and change rule 1). The product (service) “sugar pickling” is deleted (change rule 5).

When the process of step S302 is completed, the process moves to step S304, the product list changed in step S302 is stored in the storage device 42, and the series of processes ends.

Next, the effects of this embodiment will be explained.
In this embodiment, the products (services) in the product list 490 are changed to conforming products (services) based on the change rule table 460.

As a result, products (services) with few defects can be obtained.
In this embodiment, step S300 corresponds to the product information acquisition means of inventions 1, 2, 9, or 11, and step S302 corresponds to the changing means of invention 1 or 9, or the deletion means of invention 2 or 11. ing.

[Fourth embodiment]
Next, a fourth embodiment of the present invention will be described. 27 to 31 are diagrams showing this embodiment.

This embodiment differs from the first embodiment in that the business content of the right holder is input and a product (service) corresponding to the input business content is searched. Hereinafter, only the different parts from the first embodiment will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
The composition of product recommendations based on business content is as follows:
a business information acquisition means for acquiring business information regarding business content;
Product information for acquiring the product information corresponding to the business information acquired by the business information acquisition means from a product information storage means that stores product information about the product or service or the group to which it belongs in association with business information about the business content. and an acquisition means.

Here, regarding the relationship between "business content" and "goods or services," for example, "goods or services" are the goods or services specified in the trademark registration case, and "business content" is the product or service specified in the trademark registration case. This includes relationships that are the business content of applicants or rights holders, or businesses related to them. The business content of related businesses includes, for example, (1) business content of businesses with which they have a capital relationship, (2) business content of businesses with which they have a controlling relationship, and (3) business content of businesses with which they have a competitive relationship. , (4) Includes other business details of businesses with which the business entity is related. A business operator may be a natural person or a corporation.

Next, the configuration of this embodiment will be explained.
FIG. 27 is a diagram illustrating a portion of the trademark gazette and a certified copy of the corporate register.

The storage device 42 stores trademark publication data that records the contents of a trademark publication and corporate registry certified copy data that records the contents of a certified copy of a corporate registry. The trademark publication data is the same as FIG. 2 except for the right holder.

Correlate the right holder in the trademark gazette data and the trade name in the corporate register transcript data, obtain the business purpose of the trademark registration right holder from the corporate register transcript data, and associate the obtained business purpose with the trademark registration and right holder. It is registered in tables 600b and 620b.

In the example of FIG. 27, Corporation A defines the business content "hotel management" as its business purpose in its articles of incorporation. Additionally, Co., Ltd. A has registered trademarks with registration numbers "9,999,982," "9,999,983," and "9,999,985." Therefore, these three trademark registrations are registered in tables 600b and 620b in association with the business content "hotel management." The third, fourth, and eighth rows of the table 620b are the corresponding records.

Co., Ltd. B's articles of incorporation define the business activities as ``hotel management'' and ``restaurant management.'' Additionally, Co., Ltd. B has registered trademarks with registration numbers "9,999,981" and "9,999,983." Therefore, for these two trademark registrations, the business contents "hotel management" and "restaurant management" are associated and registered in tables 600b and 620b. The first, second, fourth, and fifth rows of the table 620b are the corresponding records.

Co., Ltd. C's articles of incorporation specify that its business purpose is "management of spa facilities." Additionally, Co., Ltd. C has registered trademarks with registration numbers "9,999,985" and "9,999,988." Therefore, these two trademark registrations are registered in tables 600b and 620b in association with the business content "management of spa facilities." The 9th and 13th lines of the table 620b are the corresponding records.

Co., Ltd. D's articles of incorporation define its business activities as ``management of spa facilities'' and ``management of restaurants.'' Additionally, Co., Ltd. D has registered trademarks with registration numbers "9,999,984" and "9,999,989." Therefore, for these two trademark registrations, the business contents "management of spa facilities" and "management of restaurants" are registered in tables 600b and 620b in association with each other. The 6th, 7th, 15th, and 16th rows of the table 620b are the corresponding records.

E Co., Ltd.'s articles of incorporation specify that its business purpose is "manufacture and sale of confectionery." Additionally, E Co., Ltd. has registered trademarks with registration numbers "9,999,987" and "9,999,988." Therefore, these two trademark registrations are registered in tables 600b and 620b in association with the business content "manufacturing and sales of confectionery." The 12th and 14th lines of the table 620b are the corresponding records.

F Co., Ltd.'s articles of incorporation define its business activities as ``manufacturing and selling confectionery'' and ``management of restaurants.'' Additionally, F Co., Ltd. has a registered trademark with registration number "9,999,986." Therefore, for this trademark registration, the business contents "manufacturing and sales of confectionery" and "management of a restaurant" are associated and registered in the tables 600b and 620b. The 10th and 11th lines of the table 620b are the corresponding records.

FIG. 28 is a diagram showing the data structure of the business content table 600b.
The storage device 42 stores a business details table 600b, as shown in FIG.

One record is registered for each business content in the business content table 600b. Each record includes a field 602b for registering a business content ID uniquely assigned to the business content, and a field 604b for registering the business content. For example, the business purpose defined in the articles of incorporation of the corporation is registered as the business content in the field 604b. The example in FIG. 28 corresponds to the example in FIG. 27.

FIG. 29 is a diagram showing the data structure of the business content correspondence table 620b.
As shown in FIG. 29, the storage device 42 stores a business content correspondence table 620b.

In the business content correspondence table 620b, one record is registered for each trademark registration and for each business content. Each record includes a field 622b for registering a file ID, and a field 624b for registering a business content ID of the business content of the trademark registration right holder identified by the file ID. One trademark registration has one or more right holders, and one right holder has one or more business contents, so the business contents correspondence table 620b includes one or more right holders for one file ID. The business content ID is associated. The example in FIG. 29 corresponds to the example in FIG. 27, and the records in the first and second lines are for trademark registration 1 (meaning the trademark registration with file ID "1". The same will be described hereinafter). The right holder "Co., Ltd. B" stipulates in the articles of incorporation of the corporation that business content 1 (means the business content of business content ID "1". The same will be described hereinafter) "hotel management" and business content 2 "restaurants" This indicates that the company has registered two business purposes: ``Management of...''. In addition, in the trademark registration of the registration number "9,999,983," "hotel management" is defined by both Corporation A and Corporation B, but in the business content correspondence table 620b, duplicates are excluded and registered. However, if multiple rights holders have defined the same business content, such as registration number "9,999,983," the same business content may be registered twice for one trademark registration. Duplicate registration will increase the relationship between the designated goods (services) and the business content.

Next, the operation of this embodiment will be explained.
FIG. 30 is a flowchart showing related product search processing.

FIG. 31 is a screen showing related product search results.
The related product search process is a process executed in response to a request from a user, and when executed by the CPU 30, the process first moves to step S100b, as shown in FIG. 30. In step S100b, business details are input. In the example of FIG. 31, the user enters the business content "manufacture and sale of confectionery" in the text box 500, and clicks the search button 502 to input the business content.

Next, the process moves to step S102b. In step S102b, the categories, products (services), and similar group codes (hereinafter referred to as "related products (services)" in this embodiment) corresponding to the business content input in step S100b are stored in tables 400, 420, 440, Search from 600b and 620b. Specifically, the tables 400, 420, 440, 600b, and 620b are internally joined to search for products (services) specified in the trademark registration of the right holder having the input business content, as well as their categories and similar group codes.

Next, the process moves to step S106 via step S104, and the related products (services) found in step S102b and the number of appearances calculated in step S104 are associated with each other and displayed in descending order of the number of appearances. In the example of FIG. 31, related products (services) and the number of appearances are associated and displayed in the search result display area 504 in descending order of the number of appearances.

When the process of step S106 is completed, the series of processes ends.
Note that as a more specific process for product recommendation based on business content, the process disclosed in Japanese Patent Application Laid-Open No. 2016-126580 can be adopted.

Next, the effects of this embodiment will be explained.
In this embodiment, business content is input, products (services) corresponding to the input business content are searched from tables 400, 420, 440, 600b, and 620b, related products (services) are displayed, and related products (services) are searched for. service) as the product (service) to be changed.

As a result, products (services) that can potentially be handled in future business and have few defects can be obtained.

In this embodiment, step S100b corresponds to the element information acquisition means of invention 6, and step S102b corresponds to the product information acquisition means of invention 6 or 7.

[Fifth embodiment]
Next, a fifth embodiment of the present invention will be described. 32 to 36 are diagrams showing this embodiment.

This embodiment differs from the first embodiment in that a right holder (name or designation) is input and a product (service) corresponding to the input right holder is searched for. Hereinafter, only the different parts from the first embodiment will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
The structure of product recommendations by business operators is as follows:
a business information acquisition means for acquiring business information regarding the business;
Obtaining the product information corresponding to the business information acquired by the aforementioned business information acquisition means from a product information storage means that stores product information about the product or service or the group to which it belongs in association with business information about the business operator. and product information acquisition means.

Here, regarding the relationship between the "business operator" and the "goods or services," for example, the "goods or services" are the goods or services specified in the trademark registration case, and the "business operator" is the goods or services specified in the trademark registration case. This includes relationships such as applicants or rights holders, or businesses related to these. Related businesses include, for example, (1) businesses with which the business entity has a capital relationship, (2) businesses with which the business entity has a controlling relationship, (3) businesses with which the business entity has a competitive relationship, and (4) businesses with which other business entities are related. is included. A business operator may be a natural person or a corporation.

Next, the configuration of this embodiment will be explained.
FIG. 32 is a diagram showing a portion of the contents of the trademark publication.

The storage device 42 stores trademark publication data that records the contents of trademark publications. The contents of the trademark publication data are the same as in FIG.

In the example of FIG. 32, Corporation A is the holder of the trademark registration rights for the registration numbers "9,999,982," "9,999,983," and "9,999,985." Therefore, these three trademark registrations are registered in tables 600c and 620c in association with Corporation A. The second, third, and sixth rows of the table 620c are the corresponding records.

Co., Ltd. B is the right holder of trademark registrations with registration numbers "9,999,981" and "9,999,983." Therefore, these two trademark registrations are registered in tables 600c and 620c in association with Co., Ltd. B. The first and fourth rows of the table 620c are the corresponding records.

Co., Ltd. C is the right holder of trademark registrations with registration numbers "9,999,985" and "9,999,988." Therefore, these two trademark registrations are registered in tables 600c and 620c in association with Co., Ltd. C. The seventh and tenth lines of the table 620c are the corresponding records.

D Co., Ltd. is the holder of the trademark registration with registration numbers "9,999,984" and "9,999,989." Therefore, these two trademark registrations are registered in tables 600c and 620c in association with Co., Ltd. D. The 5th and 12th lines of the table 620c are the corresponding records.

E Co., Ltd. is the right holder of trademark registrations with registration numbers "9,999,987" and "9,999,988." Therefore, these two trademark registrations are registered in tables 600c and 620c in association with Co., Ltd. E. The 9th and 11th lines of the table 620c are the corresponding records.

F Co., Ltd. is the holder of the trademark registration with registration number "9,999,986." Therefore, this trademark registration is associated with Co., Ltd. F and registered in tables 600c and 620c. The eighth row of table 620c is the corresponding record.

FIG. 33 is a diagram showing the data structure of the rights holder table 600c.
The storage device 42 stores a rights holder table 600c, as shown in FIG. 33.

One record is registered for each right holder in the right holder table 600c. Each record includes a field 602c for registering a right holder ID uniquely assigned to a trademark registration right holder (business operator), and a field 604c for registering the right holder. The example in FIG. 33 corresponds to the example in FIG. 32.

FIG. 34 is a diagram showing the data structure of the right holder correspondence table 620c.
The storage device 42 stores a right holder correspondence table 620c, as shown in FIG.

In the right holder correspondence table 620c, one record is registered for each trademark registration and each right holder. Each record includes a field 622c for registering a file ID, and a field 624c for registering the right holder ID of the trademark registration right holder specified by the file ID. Since one or more right holders exist for one trademark registration, one or more right holder IDs are associated with one file ID in the right holder correspondence table 620c. The example in FIG. 34 corresponds to the example in FIG. 32, and the record in the first line indicates that the right holder of trademark registration 1 is the right holder 2 (means the right holder with right holder ID "2". The same applies hereinafter). ) The records in the third and fourth lines indicate that the right holder of trademark registration 3 is “Co., Ltd. A” and “Co., Ltd. A” and right holder 2 is “Co., Ltd. B”. It shows that there is.

Next, the operation of this embodiment will be explained.
FIG. 35 is a flowchart showing related product search processing.

FIG. 36 is a screen showing related product search results.
The related product search process is a process executed in response to a request from a user, and when executed by the CPU 30, as shown in FIG. 35, the process first moves to step S100c. In step S100c, the right holder (name or title) is input. In the example of FIG. 36, the user inputs the right holder "Co., Ltd. A" into the text box 500 and clicks the search button 502 to input the right holder.

Next, the process moves to step S102c. In step S102c, the category, product (service), and similar group code (hereinafter referred to as "related product (service)" in this embodiment) corresponding to the right holder input in step S100c are stored in tables 400, 420, 440, Search from 600c and 620c. Specifically, the tables 400, 420, 440, 600c, and 620c are internally joined to search for goods (services) specified in the trademark registration of the inputted right holder, as well as their categories and similar group codes.

Next, the process moves to step S106 via step S104, and the related products (services) found in step S102c and the number of appearances calculated in step S104 are associated with each other and displayed in descending order of the number of appearances. In the example of FIG. 36, related products (services) and the number of appearances are associated and displayed in the search result display area 504 in descending order of the number of appearances.

When the process of step S106 is completed, the series of processes ends.
Note that as a more specific process for product recommendation by a business operator, the process disclosed in Japanese Patent Application Publication No. 2016-206812 can be adopted.

Next, the effects of this embodiment will be explained.
In this embodiment, a right holder is input, products (services) corresponding to the input right holder are searched from tables 400, 420, 440, 600c, and 620c, related products (services) are displayed, and related products (services) are searched for. service) as the product (service) to be changed.

As a result, products (services) that can potentially be handled in future business and have few defects can be obtained.

In this embodiment, step S100c corresponds to the element information acquisition means of invention 6, and step S102c corresponds to the product information acquisition means of invention 6 or 7.

[Sixth embodiment]
Next, a sixth embodiment of the present invention will be described. 37 to 41 are diagrams showing this embodiment.

This embodiment differs from the first embodiment in that an agent (name or designation) is input and a product (service) corresponding to the input agent is searched for. Hereinafter, only the different parts from the first embodiment will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
The composition of product recommendations by agents is as follows:
an agent information acquisition means for acquiring agent information regarding the agent;
Obtaining the product information corresponding to the agent information obtained by the agent information obtaining means from a product information storage means that stores product information about the product or service or the group to which it belongs in association with agent information about the agent. and product information acquisition means.

Here, regarding the relationship between the "agent" and "goods or services," for example, the "goods or services" are the goods or services specified in the trademark registration case, and the "agent" This includes relationships where the person is an agent of or a related agent of the person. Examples of related agents include: (1) agents who belong to the same, affiliated, or affiliated patent firm; (2) agents with capital ties; (3) agents with whom there is a controlling relationship; ) Agents in a competitive relationship; (5) Agents with which other entities are related. The agent may be a natural person or a legal entity.

Next, the configuration of this embodiment will be explained.
FIG. 37 is a diagram showing a portion of the contents of the trademark publication.

The storage device 42 stores trademark publication data that records the contents of trademark publications. The trademark publication data is the same as FIG. 2 except for the right holder.

In the example of FIG. 37, agent A is an agent for registering trademarks with registration numbers "9,999,982," "9,999,983," and "9,999,985." Therefore, agent A is associated with these three trademark registrations and registered in tables 600d and 620d. The second, third, and sixth rows of the table 620d are the corresponding records.

Agent B is an agent for registering trademarks with registration numbers "9,999,981" and "9,999,983." Therefore, agent B is associated with these two trademark registrations and registered in tables 600d and 620d. The first and fourth rows of the table 620d are the corresponding records.

Agent C is an agent for registering trademarks with registration numbers "9,999,985" and "9,999,988." Therefore, agent C is associated with these two trademark registrations and registered in tables 600d and 620d. The seventh and tenth lines of the table 620d are the corresponding records.

Agent D is an agent for trademark registration with registration numbers "9,999,984" and "9,999,989." Therefore, agent D is associated with these two trademark registrations and registered in tables 600d and 620d. The 5th and 12th lines of the table 620d are the corresponding records.

Agent E is an agent for registering trademarks with registration numbers "9,999,987" and "9,999,988." Therefore, agent E is associated with these two trademark registrations and registered in tables 600d and 620d. The 9th and 11th lines of the table 620d are the corresponding records.

Agent F is an agent for trademark registration with registration number "9,999,986." Therefore, agent F is associated with this trademark registration and registered in tables 600d and 620d. The eighth line of the table 620d is the corresponding record.

FIG. 38 is a diagram showing the data structure of the proxy table 600d.
The storage device 42 stores a proxy table 600d, as shown in FIG. 38.

One record is registered for each agent in the agent table 600d. Each record includes a field 602d for registering an agent ID uniquely assigned to an agent for trademark registration, and a field 604d for registering an agent. The example in FIG. 38 corresponds to the example in FIG. 37.

FIG. 39 is a diagram showing the data structure of the agent correspondence table 620d.
The storage device 42 stores a proxy correspondence table 620d, as shown in FIG.

One record is registered for each trademark registration and each agent in the agent correspondence table 620d. Each record includes a field 622d for registering a file ID, and a field 624d for registering the agent ID of the trademark registration agent specified by the file ID. Since one or more agents exist for one trademark registration, one or more agent IDs are associated with one file ID in the agent correspondence table 620d. The example in FIG. 39 corresponds to the example in FIG. 37, and the record in the first line indicates that the agent for trademark registration 1 is agent 1 (means the agent with agent ID "1". The same applies hereafter) ) The records in the 3rd and 4th lines indicate that the agent for trademark registration 3 is Agent 1 ``Agent A'' and Agent 2 ``Agent B.'' It shows that there is.

Next, the operation of this embodiment will be explained.
FIG. 40 is a flowchart showing related product search processing.

FIG. 41 is a screen showing related product search results.
The related product search process is a process executed in response to a request from a user, and when executed by the CPU 30, the process first moves to step S100d, as shown in FIG. 40. In step S100d, the agent (name or title) is input. In the example of FIG. 41, the user inputs the agent "agent A" into the text box 500 and clicks the search button 502 to input the agent.

Next, the process moves to step S102d. In step S102d, the categories, products (services), and similar group codes (hereinafter referred to as "related products (services)" in this embodiment) corresponding to the agent input in step S100d are stored in tables 400, 420, 440, Search from 600d and 620d. Specifically, tables 400, 420, 440, 600d, and 620d are internally joined to search for goods (services) specified in the trademark registration of the input agent, as well as their categories and similar group codes.

Next, the process moves to step S106 via step S104, and the related products (services) found in step S102d and the number of appearances calculated in step S104 are associated with each other and displayed in descending order of the number of appearances. In the example of FIG. 41, related products (services) and the number of appearances are associated and displayed in the search result display area 504 in descending order of the number of appearances.

When the process of step S106 is completed, the series of processes ends.
Note that as a more specific process for product recommendation by an agent, the process disclosed in Japanese Patent Application Laid-open No. 2017-182807 can be adopted.

Next, the effects of this embodiment will be explained.
In this embodiment, a representative is input, products (services) corresponding to the entered representative are searched from tables 400, 420, 440, 600d, and 620d, related products (services) are displayed, and related products (services) are searched for. service) as the product (service) to be changed.

As a result, products (services) that can potentially be handled in future business and have few defects can be obtained.

In this embodiment, step S100d corresponds to the element information acquisition means of invention 6, and step S102d corresponds to the product information acquisition means of invention 6 or 7.

[Seventh embodiment]
Next, a seventh embodiment of the present invention will be described. 42 to 45 are diagrams showing this embodiment.

This embodiment realizes the related product search process (FIG. 8) in the first embodiment using AI (Artificial Intelligence). The difference is that the product (service) corresponding to the input product (service) is estimated using the learned model. Hereinafter, only the different parts from the first embodiment will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
The composition of product AI recommendation is
Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
Using a trained model that has been trained based on information in which second product information about the second product or service or the group to which it belongs and product information about the first product or service or the group to which it belongs are associated, and estimation means for estimating the second product information from the product information acquired by the product information acquisition means.

Here, the relationship between the "first goods or services" and the "second goods or services" is such that, for example, the "first goods or services" is one of the goods or services specified in the trademark registration case. Yes, and includes relationships where the "second goods or services" are other goods or services specified in the trademark registration case.

Next, the configuration of this embodiment will be explained.
The storage device 42 stores data of a trained model that has been trained based on information in which one product (service) specified in the trademark registration and another product (service) specified in the trademark registration are associated. I remember.

Next, the operation of this embodiment will be explained.
FIG. 42 is a flowchart showing learned model generation processing.

FIG. 43 is a block diagram showing the process of generating and using a trained model.
The learned model generation process is a process executed to generate a learned model, and when executed by the CPU 30, the process moves to step S400, as shown in FIG. Execute. In the trademark publication data analysis process, trademark publication data related to one or more trademark registrations is read from the storage device 42, and the registration number, classification, designated goods (services), and similar group codes are extracted from the read trademark publication data.

Next, the process moves to step S402. In step S402, tables 400, 420, 440 are generated by registering the extracted registration number, category, designated product (service), and similar group code in the tables 400, 420, 440 in association with each other. The correspondence is made based on the correspondence in trademark registration as described above.

Next, the process proceeds to step S404, as shown in FIG. 43, a learning dataset is generated based on the information in tables 400, 420, and 440, and the process proceeds to step S406, where the generated learning dataset is used for learning. input into the training program and generate a trained model using the training program. The learning program includes pre-learning parameters and hyperparameters, performs learning based on the input learning data set and hyperparameters, and updates the pre-learning parameters. Then, a trained model is output as a learning result.

The trained model includes trained parameters whose pre-learning parameters have been updated through learning, and an inference program. The inference program inputs a product (service), estimates one or more related products (services) from the input product (service) based on learned parameters, and estimates the estimated one or more related products (services). Output. The relationship between the input product (service) and related product (service) is determined by AI learning, so although it shows a similar tendency to the content of trademark publication data, there is ambiguity that does not necessarily match exactly. Specifically, for example, (1) the entered product (service) or a product (service) with the same characteristics in a trademark registration in which the product (service) is designated, the corresponding product (service) and other products (services) specified; It can be expected that the classifications and similar group codes thereof, or (2) the classifications, goods (services) and similar group codes having the same characteristics as these, will be estimated as related goods (services). In the examples shown in Figures 2 to 5, if you enter the product (service) "Dairy products", the trademark registrations with registration numbers "9,999,983" and "9,999,987" will correspond, but the products (services) specified in these trademark registrations will correspond. ), etc., for the registration number "9,999,983", (1) classification "29", goods (services) "dairy products" and similar group code "31D01", (2) classification "42", goods (services) "drafting tools" "loan" and similar group code "42X31" for registration number "9,999,987", (3) category "29", goods (services) "dairy products" and similar group code "31D01", (4) category "30" It can be expected that a total of four items, including the product (service) ``sugar pickling'' and the similar group code ``30A01'', will be presumed to be related products (services).

FIG. 44 is a flowchart showing related product estimation processing.
FIG. 45 is a screen showing related product estimation results.

The CPU 30 executes the related product estimation process shown in FIG. 44 instead of the related product search process shown in FIG. 8 . The related product estimation process is a process executed in response to a request from a user, and when executed by the CPU 30, the process first moves to step S100, as shown in FIG. In step S100, products (services) are input. In the example of FIG. 45, the user inputs the product (service) "confectionery" into the text box 500, and clicks the search button 502 to input the product (service).

Next, the process moves to step S110a. In step S110a, the learned model data is read from the storage device 42, and the learned model is used to estimate related products (services) from the input products (services). Estimation is performed by inputting input products (services) into a learned model and acquiring one or more products (services) output from the learned model as related products (services). It is also possible to further input related products (services) into the learned model and obtain one or more products (services) output from the trained model as related products (services).

Next, the process moves to step S112, and the related products (services) estimated in step S110a are displayed. In the example of FIG. 45, related products (services) are displayed in the search result display area 504.

When the process in step S112 is completed, the series of processes ends.
Next, the effects of this embodiment will be explained.

In this embodiment, a product (service) is input, and learning is performed based on information that associates one product (service) specified in a trademark registration with another product (service) specified in that trademark registration. Using the learned model, related products (services) are estimated from the input products (services).

As a result, it can be expected that related products (services) corresponding to unknown products (services) can be obtained.

Furthermore, in this embodiment, one or more products (services) output from the trained model are further input into the trained model, and one or more products (services) output from the trained model are used as related products. (services).

As a result, not only products (services) related to the input product (service) but also related products (services) can be obtained.

In this embodiment, step S100 corresponds to the element information acquisition means of invention 8, step S110a corresponds to the product information acquisition means of invention 8, and step S112 corresponds to the product information output means of invention 8. ing.

[Eighth embodiment]
Next, an eighth embodiment of the present invention will be described. 46 and 47 are diagrams showing this embodiment.

This embodiment uses AI to implement the related product search process (FIG. 30) in the fourth embodiment, and in contrast to the fourth embodiment, the business content of the right holder is input. , differs in that a trained model is used to estimate products (services) corresponding to the input business details. Hereinafter, only the different parts from the first and fourth embodiments will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
The composition of product AI recommendations based on business content is as follows:
a business information acquisition means for acquiring business information regarding business content;
The product information is obtained from the business information acquired by the business information acquisition means using a trained model that is trained based on information in which product information about the product or service or the group to which it belongs and business information about the business content are associated. estimating means for estimating.

Here, regarding the relationship between "business content" and "goods or services," for example, "goods or services" are the goods or services specified in the trademark registration case, and "business content" is the product or service specified in the trademark registration case. This includes relationships that are the business content of applicants or rights holders, or businesses related to them. The business content of related businesses includes, for example, (1) business content of businesses with which they have a capital relationship, (2) business content of businesses with which they have a controlling relationship, and (3) business content of businesses with which they have a competitive relationship. , (4) Includes other business details of businesses with which the business entity is related. A business operator may be a natural person or a corporation.

Next, the configuration of this embodiment will be explained.
The storage device 42 stores data of a learned model that has been trained based on information in which the goods (services) designated in trademark registration and the business details of the right holder of the trademark registration are associated with each other. The correspondence is made based on the correspondence in the trademark registration and corporate register as described above. Furthermore, the method for generating a trained model is the same as in the seventh embodiment. That is, a learning data set is generated based on the information in the tables 400, 420, 440, 600b, and 620b, the generated learning data set is input to a learning program, and a trained model is generated by the learning program.

The learned model includes learned parameters and an inference program. The inference program inputs the business content and, based on the learned parameters, extracts the categories, products (services), and similar group codes (hereinafter referred to as "related products" in this embodiment) corresponding to the business content from the input business content. (referred to as "(services)"), and outputs the estimated one or more related products (services). The relationship between the entered business content and related products (services) is determined by AI learning, so although it shows the same tendency as the trademark gazette data and corporate register transcript data, it may not necessarily match exactly. There is. Specifically, for example, (1) the relevant goods (services) and other specified goods (services) in the trademark registration of the right holder who has the entered business content or business content with the same characteristics, and their It can be expected that the category and similar group code, or (2) the category, product (service), and similar group code having the same characteristics as these, will be estimated as related products (services).

Next, the operation of this embodiment will be explained.
FIG. 46 is a flowchart showing related product estimation processing.

FIG. 47 is a screen showing related product estimation results.
The CPU 30 executes the related product estimation process shown in FIG. 46 instead of the related product search process shown in FIG. 30. The related product estimation process is a process executed in response to a request from a user, and when executed by the CPU 30, as shown in FIG. 46, the process first moves to step S102b. In step S102b, business details are input. In the example of FIG. 47, the user enters the business content "manufacturing and sales of confectionery" in the text box 500, and clicks the search button 502 to input the business content.

Next, the process moves to step S110b. In step S110b, the learned model data is read from the storage device 42, and the learned model is used to estimate related products (services) from the input business details. Estimation is performed by inputting the input business content into a learned model and acquiring one or more products (services) output from the learned model as related products (services).

Next, the process moves to step S112, and the related products (services) estimated in step S110b are displayed. In the example of FIG. 47, related products (services) are displayed in the search result display area 504.

When the process in step S112 is completed, the series of processes ends.
Next, the effects of this embodiment will be explained.

In this embodiment, we input a business content and use a trained model that is trained based on information in which the goods (services) specified in trademark registration and the business content of the owner of the trademark registration are associated. Then, related products (services) are estimated from the entered business details.

As a result, it can be expected that related products (services) corresponding to unknown business contents can be obtained.

In this embodiment, step S100b corresponds to the element information acquisition means of invention 8, step S110b corresponds to the product information acquisition means of invention 8, and step S112 corresponds to the product information output means of invention 8. ing.

[Ninth embodiment]
Next, a ninth embodiment of the present invention will be described. 48 and 49 are diagrams showing this embodiment.

This embodiment uses AI to realize the related product search process (FIG. 35) in the fifth embodiment, and in contrast to the fifth embodiment, the right holder (name or name) is The difference is that the product (service) corresponding to the input right holder is estimated using input and a trained model. Hereinafter, only the parts that are different from the first and fifth embodiments will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
The composition of product AI recommendations by businesses is as follows:
a business information acquisition means for acquiring business information regarding the business;
From the business information acquired by the aforementioned business information acquisition means using a trained model that has been trained based on information in which product information about the product or service or the group to which it belongs and business information about the business are associated. and estimating means for estimating the product information.

Here, regarding the relationship between the "business operator" and the "goods or services," for example, the "goods or services" are the goods or services specified in the trademark registration case, and the "business operator" is the goods or services specified in the trademark registration case. This includes relationships such as applicants or rights holders, or businesses related to these. Related businesses include, for example, (1) businesses with which the business entity has a capital relationship, (2) businesses with which the business entity has a controlling relationship, (3) businesses with which the business entity has a competitive relationship, and (4) businesses with which other business entities are related. is included. A business operator may be a natural person or a corporation.

Next, the configuration of this embodiment will be explained.
The storage device 42 stores data of a trained model that has been trained based on information in which the goods (services) specified in trademark registration and the right holder of the trademark registration are associated with each other. The correspondence is made based on the correspondence in trademark registration as described above. Furthermore, the method for generating a trained model is the same as in the seventh embodiment. That is, a learning dataset is generated based on the information in the tables 400, 420, 440, 600c, and 620c, the generated learning dataset is input to a learning program, and the learning program generates a trained model.

The learned model includes learned parameters and an inference program. The inference program inputs a right holder and, based on the learned parameters, extracts the categories, goods (services), and similar group codes (hereinafter referred to as "related goods" in this embodiment) corresponding to the right holder from the input right holder. (referred to as "(services)"), and outputs the estimated one or more related products (services). The relationship between the input right holder and related goods (services) is determined by AI learning, so although it shows the same tendency as the contents of trademark publication data, there is ambiguity that does not necessarily match exactly. Specifically, for example, (1) the relevant goods (services) and other designated goods (services) in the trademark registration of the entered right holder or a right holder with the same characteristics, and their classification and similar groups; code, or (2) category, product (service), and similar group code having the same characteristics as these can be expected to be estimated as related products (services).

Next, the operation of this embodiment will be explained.
FIG. 48 is a flowchart showing related product estimation processing.

FIG. 49 is a screen showing related product estimation results.
The CPU 30 executes the related product estimation process shown in FIG. 48 instead of the related product search process shown in FIG. 35. The related product estimation process is a process executed in response to a request from a user, and when executed by the CPU 30, as shown in FIG. 48, the process first moves to step S100c. In step S100c, the right holder is input. In the example of FIG. 49, the user inputs the right holder "Co., Ltd. A" into the text box 500 and clicks the search button 502 to input the right holder.

Next, the process moves to step S110c. In step S110c, the learned model data is read from the storage device 42, and the learned model is used to estimate related products (services) from the input right holder. Estimation is performed by inputting the input right holder into a learned model and acquiring one or more products (services) output from the learned model as related products (services).

Next, the process moves to step S112, and the related products (services) estimated in step S110c are displayed. In the example of FIG. 49, related products (services) are displayed in the search result display area 504.

When the process in step S112 is completed, the series of processes ends.
Next, the effects of this embodiment will be explained.

In this embodiment, a right holder is input, and a trained model is trained based on information in which the goods (services) specified in trademark registration and the right holder of the trademark registration are associated. The related goods (services) are estimated from the right holder.

As a result, it can be expected that related products (services) corresponding to unknown rights holders can be obtained.
In this embodiment, step S100c corresponds to the element information acquisition means of invention 8, step S110c corresponds to the product information acquisition means of invention 8, and step S112 corresponds to the product information output means of invention 8. ing.

[Tenth embodiment]
Next, a tenth embodiment of the present invention will be described. 50 and 51 are diagrams showing this embodiment.

This embodiment uses AI to implement the related product search process (FIG. 40) in the sixth embodiment. The difference is that the product (service) corresponding to the input agent is estimated using the input and trained model. Hereinafter, only the parts that are different from the first and sixth embodiments will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
The composition of the product AI recommendation by the agent is as follows:
an agent information acquisition means for acquiring agent information regarding the agent;
From the agent information acquired by the agent information acquisition means using a trained model that is trained based on information in which product information about the product or service or the group to which it belongs and agent information about the agent are associated. and estimating means for estimating the product information.

Here, regarding the relationship between the "agent" and "goods or services," for example, the "goods or services" are the goods or services specified in the trademark registration case, and the "agent" This includes relationships where the person is an agent of or a related agent of the person. Examples of related agents include: (1) agents who belong to the same, affiliated, or affiliated patent firm; (2) agents with capital ties; (3) agents with whom there is a controlling relationship; ) Agents in a competitive relationship; (5) Agents with which other entities are related. The agent may be a natural person or a legal entity.

Next, the configuration of this embodiment will be explained.
The storage device 42 stores data of a trained model that has been trained based on information in which goods (services) designated in trademark registration and agents for trademark registration are associated with each other. The correspondence is made based on the correspondence in trademark registration as described above. Furthermore, the method for generating a trained model is the same as in the seventh embodiment. That is, a learning dataset is generated based on the information in the tables 400, 420, 440, 600d, and 620d, the generated learning dataset is input to a learning program, and a trained model is generated by the learning program.

The learned model includes learned parameters and an inference program. The inference program inputs an agent and, based on the learned parameters, extracts the category, product (service), and similar group code (hereinafter referred to as "related products" in this embodiment) corresponding to the agent from the input agent. (referred to as "(services)"), and outputs the estimated one or more related products (services). The relationship between the input agent and related products (services) is determined by AI learning, so although it shows a similar tendency to the contents of the trademark publication data, there is some ambiguity that does not necessarily result in an exact match. Specifically, for example, (1) the applicable goods (services) and other specified goods (services) in the trademark registration of the entered agent or an agent with the same characteristics, and their classification and similar groups; code, or (2) category, product (service), and similar group code having the same characteristics as these can be expected to be estimated as related products (services).

Next, the operation of this embodiment will be explained.
FIG. 50 is a flowchart showing related product estimation processing.

FIG. 51 is a screen showing related product estimation results.
The CPU 30 executes the related product estimation process shown in FIG. 24 instead of the related product search process shown in FIG. 40. The related product estimation process is a process executed in response to a request from a user, and when executed by the CPU 30, as shown in FIG. 50, the process first moves to step S100d. In step S100d, a representative is input. In the example of FIG. 51, the user inputs the agent "agent A" into the text box 500 and clicks the search button 502 to input the agent.

Next, the process moves to step S110d. In step S110d, the learned model data is read from the storage device 42, and the learned model is used to estimate related products (services) from the input agent. Estimation is performed by inputting the input agent into a learned model and acquiring one or more products (services) output from the learned model as related products (services).

Next, the process moves to step S112, and the related products (services) estimated in step S110d are displayed. In the example of FIG. 51, related products (services) are displayed in the search result display area 504.

When the process in step S112 is completed, the series of processes ends.
Next, the effects of this embodiment will be explained.

In this embodiment, an agent is input, and a trained model is trained based on the information in which the goods (services) specified in trademark registration and the agent for that trademark registration are associated. Estimate the related goods (services) from the agent.

As a result, it can be expected that related products (services) corresponding to unknown agents can be obtained.
In this embodiment, step S100d corresponds to the element information acquisition means of invention 8, step S110d corresponds to the product information acquisition means of invention 8, and step S112 corresponds to the product information output means of invention 8. ing.

[Eleventh embodiment]
Next, an eleventh embodiment of the present invention will be described. FIG. 52 is a diagram showing this embodiment.

This embodiment differs from the first to third embodiments described above by inputting products (services) (for example, non-conforming products (services)) and using a learned model to The difference is that the corresponding products (services) are estimated. Hereinafter, only the different parts from the first embodiment will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
Estimating means for estimating the second product information from the product information acquired by the product information acquisition means, using a trained model that has been trained based on second product information regarding the second product or service or the group to which the second product or service belongs. Equipped with.

Here, regarding the relationship between the "first product or service" and the "second product or service," for example, the "first product or service" is a non-conforming product (service), and the "second product or service" is a non-conforming product (service). Includes relationships where “or services” are conforming goods (services).

Next, the configuration of this embodiment will be explained.
The storage device 42 stores data of a trained model that has been trained based on information regarding compatible products (services). The method for generating a trained model is the same as in the seventh embodiment. That is, a learning data set is generated based on the information in the compatible product table 480, the generated learning data set is input to a learning program, and a trained model is generated by the learning program.

The learned model includes learned parameters and an inference program. The inference program inputs a product (service), and based on the learned parameters, calculates the category, product (service), and similar group code (hereinafter referred to as this implementation) corresponding to the product (service) from the input product (service). In this format, one or more related conforming products (services) are estimated, and the estimated one or more related conforming products (services) are output. The relationship between the input product (service) and related compatible product (service) is determined by AI learning, so although it shows the same tendency as the content of the trademark publication data, there is ambiguity that does not necessarily match exactly. . Specifically, for example, it is expected that a conforming product (service) that includes part or all of the input product (service) or a product (service) that has the same characteristics as the input product (service) will be presumed to be a related conforming product (service). can.

Next, the operation of this embodiment will be explained.
FIG. 52 is a block diagram showing the process of generating and using a learned model.

When the related conforming product estimation process is executed by the CPU 30, a product (service) (for example, a non-conforming product (service)) is input, the data of the trained model is read from the storage device 42, and the data of the trained model is used. , estimate related conforming products (services) from the input products (services). As shown in Figure 52, estimation involves inputting input products (services) into a trained model and acquiring one or more products (services) output from the trained model as related conforming products (services). This is done by For example, the input product (service) is changed to an estimated conforming product (service).

Next, the effects of this embodiment will be explained.
In this embodiment, a product (service) is input, and a trained model that is trained based on information about the compatible product (service) is used to estimate a related compatible product (service) from the input product (service). do.

As a result, it can be expected that related conforming products (services) corresponding to unknown products (services) can be obtained.

[Twelfth embodiment]
Next, a twelfth embodiment of the present invention will be described. 53 and 54 are diagrams showing this embodiment.

In this embodiment, the eleventh embodiment is applied to the seventh embodiment, and the related products (services) estimated in the related product estimation process of FIG. Input to estimation processing, change related products (services) to related conforming products (services), and output. Hereinafter, only the parts that are different from the first, seventh, and eleventh embodiments will be explained, and the explanation of the overlapping parts will be omitted.

First, the invention applied to this embodiment will be explained.
Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
(1) Obtaining the product information from a product information storage means that stores second product information about the second product or service or the group to which it belongs in association with product information about the first product or service or the group to which it belongs or (2) second product information regarding a second product or service, or a group to which it belongs, and the first product. or a first method of estimating the second product information from the product information acquired by the product information acquisition means using a trained model that has been trained based on information associated with product information regarding the service or the group to which the service belongs; Estimation means;
The second product information acquired by the second product information acquisition means or the first estimation means uses a learned model that has been trained based on the third product information regarding the third product or service or the group to which it belongs. and second estimating means for estimating the third product information from the estimated second product information.

Here, the relationship between the "first goods or services" and the "second goods or services" is such that, for example, the "first goods or services" is one of the goods or services specified in the trademark registration case. Yes, and includes relationships where the "second goods or services" are other goods or services specified in the trademark registration case.

Furthermore, regarding the relationship between the "second goods or services" and the "third goods or services," for example, the "second goods or services" are non-conforming goods (services), and the "third goods or services" are non-conforming goods or services. Includes relationships where “services” are conforming goods (services).

Next, the configuration of this embodiment will be explained.
The storage device 42 stores a trained model 1 (above-mentioned The trained model in the seventh embodiment) and the trained model 2 (trained model in the eleventh embodiment) that has been trained based on information regarding compatible products (services) are stored. are doing.

Next, the operation of this embodiment will be explained.
FIG. 53 is a flowchart showing related compatible product estimation processing.

FIG. 54 is a block diagram showing the process of generating and using learned models 1 and 2.
The related compatible product estimation process is a process executed in response to a request from a user, and when executed by the CPU 30, as shown in FIG. input, and the process moves to step S110a.

In step S110a, the data of the trained model 1 is read from the storage device 42, and the learned model 1 is used to estimate related products (services) from the input products (services). For estimation, as shown in FIG. 41, input products (services) are input to trained model 1, and one or more products (services) output from trained model 1 are acquired as related products (services). To do this. It is also possible to further input related products (services) into the learned model 1 and obtain one or more products (services) output from the learned model 1 as related products (services).

Next, the process moves to step S114, and the data of the learned model 2 is read from the storage device 42, and the learned model 2 is used to estimate related conforming products (services) from the related products (services) estimated in step S110a. . As shown in Figure 54, the estimation is performed by inputting the input related products (services) into the trained model 2, and selecting one or more products (services) output from the trained model 2 as the related conforming products (services). This is done by acquiring.

Next, the process moves to step S116, and the related compatible products (services) estimated in step S114 are displayed, and the series of processes ends.

Next, the effects of this embodiment will be explained.
In this embodiment, a product (service) is input, and learning is performed based on information that associates one product (service) specified in a trademark registration with another product (service) specified in that trademark registration. The trained model 1 that has been trained is used to estimate related products (services) from the input products (services), and the trained model 2 that has been trained based on information about compatible products (services) is used to estimate the related products (services). The related conforming products (services) are estimated from the related products (services) that have been obtained.

As a result, it can be expected that related conforming products (services) corresponding to unknown products (services) can be obtained.

In this embodiment, step S110a corresponds to the product information acquisition means of the tenth invention, and step S114 corresponds to the estimation means of the tenth invention.

[Modified example]
In the first to third embodiments above, the change rule is applied to the same product (service) as the set non-conforming product (service), but the change rule is not limited to this. It can be applied to products (services) that include conforming products (services), or (2) products (services) that include one or more elements when the set non-conforming products (services) are divided into multiple elements. .

Further, in the second embodiment and its modified example, the process of step S108 is executed after the process of step S104, but the process is not limited to this, and can be executed before the process of step S104. That is, the product (service) may be changed before statistical processing or after statistical processing.

[Other embodiments of invention 4]
In addition, in the first embodiment and its modifications, the same code search process acquires the product (service) to be changed and its similar group code, and searches the compatible product (service) with the similar group code (product to be changed ( Search for compatible products (services) corresponding to the obtained similar group code from the compatible product table 480 that is registered in association with the similar group code (similar group code) of services), and select the product to be changed based on the found compatible product (service). (services) has been changed to conforming goods (services), but the following configurations are not limited to this and can be adopted.

The first configuration is to acquire the product (service) to be changed and its classification, and to register the compatible product (service) in association with the classification (classification of the product (service) to be changed). Search for compatible products (services) corresponding to , and change the target product (service) to a compatible product (service) based on the found compatible product (service).

The second configuration is to acquire the product (service) to be changed and register the compatible product (service) in association with the product (service) (product (service) to be changed). (service), and change the target product (service) to a compatible product (service) based on the found compatible product (service). In this configuration, when the character string of the product (service) to be changed is divided into multiple elements by morphological analysis etc., each element is used as a search key to search for a compatible product (service) corresponding to the search key from the compatible product table. You can also do that. In this case, an OR search can be performed to search for a compatible product (service) to which any one of the plurality of elements corresponds, or an AND search can be performed to search for a compatible product (service) to which any of the plurality of elements corresponds. As for whether or not each element is applicable, a complete match search or a partial match search can be performed as in the first word search process. When performing a search (for example, an OR search) in which multiple identical conforming products (services) are obtained as search results, the number of appearances for each identical content of the found conforming products (services) is calculated as in the process of step S104. However, the found compatible products (services) can also be displayed in descending order of appearance frequency. The same applies to searches for conforming products (services) of configurations 5 to 7 below.

The third configuration is to obtain the classification or similar group code of the goods (services) to be changed, and to obtain the classification or similar group code of the conforming goods (services). Search for the category or similar group code of the conforming product (service) corresponding to the obtained category or similar group code from the conforming product table registered in association with the group code), and based on the searched category or similar group code. Change the classification or similar group code of the target product (service) to the classification or similar group code of the conforming product (service).

The fourth configuration is to obtain the product (service) to be changed and its classification or similar group code, and to associate the classification or similar group code of the conforming product (service) with the product (service) (product (service) to be changed). Search the classification or similar group code of the conforming product (service) corresponding to the obtained product (service) to be changed from the compatible product table registered in ) category or similar group code to the category or similar group code of conforming goods (services).

The fifth configuration is to obtain the product (service) to be changed and its classification or similar group code, and to correspond the conforming product (service) and its classification or similar group code to the product (service) (product (service) to be changed). Search for the compatible product (service) and classification or similar group code corresponding to the obtained product (service) to be changed from the compatible product table to be registered. Change target products (services) and their categories or similar group codes to conforming products (services) and their categories or similar group codes based on the above.

The sixth configuration is to acquire the product (service) to be changed and its classification or similar group code, and convert the conforming product (service) into the product (service) (product (service) to be changed) and its classification or similar group code (changed). From the compatible product table that is registered in association with the classification or similar group code of the target product (service), search for the compatible product (service) that corresponds to the acquired product (service) and classification or similar group code. Change target products (services) to conforming products (services) based on the issued conforming products (services).

The seventh configuration is to obtain the product (service) to be changed and its classification or similar group code, and to convert the conforming product (service) and its classification or similar group code to the product (service) (product (service) to be changed) and its classification or similar group code. From the conforming product table that is registered in association with the classification or similar group code (classification or similar group code of the product (service) to be changed), the conforming product (corresponding to the acquired product (service) and classification or similar group code) Based on the found conforming goods (services) and classification or similar group codes, change the target goods (services) and their classifications or similar group codes to conforming goods (services) and their classification or similar group codes. Change to classification or similar group code.

[Embodiment according to invention 5]
Further, in the first embodiment and its modification, the change target products (services) are deleted based on the change rule table 460 in which non-conforming products (services) are registered as deletion rules, but the invention is not limited to this. If the corresponding conforming product (service) does not exist in the conforming product table 480 in the word search process in step S204 or the same code search process in step S206, the change target product (service) can be deleted.

Furthermore, in the first to twelfth embodiments and their modifications, classification, goods (services), and similar group codes are dealt with, but the code is not limited to this. Any configuration can be adopted as long as it handles product information related to categories or similar group codes). For example, (1) a configuration that handles products (services), (2) a configuration that handles classifications, (3) a configuration that handles similar group codes, (4) a configuration that handles products (services) and classifications, and (5) a configuration that handles products (services). ) and similar group codes, or (6) a structure that handles classification and similar group codes. Here, the product information can be configured as, for example, information for identifying the product (service) or the group to which it belongs (for example, link information such as name, number, ID, code, URL, etc.). Further, the product information can be configured as, for example, characters, numbers, figures, codes, symbols, images, sounds, and other information. Further, the product information can be configured as a keyword (for example, one or more keywords indicating part of the name of the product (service)) regarding the product (service) or the group to which the product (service) belongs.

In addition, in the first to third embodiments and their modifications, products (services), categories, and similar group codes are registered in the table 420, and the products (services), categories, and similar group codes are changed. However, the present invention is not limited to this, and the following configuration can be adopted.

The first configuration is to register a product (service) and change the product (service).
The second configuration registers the classification and changes the classification.

The third configuration is to register a similar group code and change the similar group code.
The fourth configuration is to register products (services) and classifications, and to change (1) products (services), (2) classifications, or (3) products (services) and classifications.

The fifth configuration is to register goods (services) and similar group codes, and change (1) goods (services), (2) similar group codes, or (3) goods (services) and similar group codes.

The sixth configuration is to register classification and similar group codes and change (1) classification, (2) similar group code, or (3) classification and similar group code.

The seventh configuration is to register products (services), classifications, and similar group codes; (1) products (services), (2) classifications, (3) similar group codes, (4) products (services) and classifications, (5) Change the product (service) and similar group code or (6) Classification and similar group code.

In addition, in the first to third embodiments and their variations, the non-conforming goods (services) and the goods (services) corresponding to their classification and similar group codes, and their classification and similar group codes in the change rules are Although the change rule is applied to the above, the following configuration is not limited to this, and the following configuration can be adopted.

In the first configuration, for products (services) and their classification and similar group codes in which one element is not set, a change rule in which that element is not set and that element are also set. Apply change rules. For example, for the product (service) "Confectionery" and similar group code "30A01" (classification not set), change rules (non-conforming product (service) "Confectionery" and similar group code "30A01") and change rule (Non-conforming goods (services) “Confectionery”, Category “30” and Similar group code “30A01”) are applied.

In the second configuration, for products (services) and their classification and similar group codes in which one element is not set, only the change rule in which that element is not set is applied. For example, for the product (service) "Confectionery" and similar group code "30A01" (classification not set), change rules (non-conforming product (service) "Confectionery" and similar group code "30A01") and change rule (Non-conforming goods (services) "Confectionery", category "30" and similar group code "30A01"), only the former applies.

Furthermore, in the second embodiment and its modifications, related products (services) are changed to conforming products (services) based on the change rule table 460; however, the following configuration is not limited to this. be able to.

The first configuration is to acquire compatible products (services) corresponding to related products (services) through word search processing, and change the related products (services) to compatible products (services) based on the obtained compatible products (services). do. If there are multiple change candidates, the change may be made to the compatible product (service) with the highest rank or evaluation, or the change may be made manually as in the first embodiment. The same applies to the case where a plurality of change candidates exist in the second and third configurations.

In the second configuration, a compatible product (service) corresponding to a related product (service) is acquired by the same code search process or other modification example of the same code search process, and based on the acquired compatible product (service), the related product (service) is (service) to a conforming product (service).

The third configuration is to convert related products (services) into compatible products by combining (1) change rule table 460, (2) word search processing, or (3) same code search processing and other variations of the above-mentioned variations of same code search processing. Change to (services). In this case, a priority order for applying (1) to (3) can be set, and (1) to (3) can be applied according to the priority order. For example, if there is no change candidate in (1), the change candidate in (2) is applied, but if there is no change candidate in (2), then the change candidate in (3) is applied.

Furthermore, the following configurations can be adopted as the first to third embodiments and their modifications. In the search result screen for related products (services), the product list shown in FIG. It can be displayed in a different manner (for example, in a different color) from other applicable products (services). Furthermore, products (services) for which there are change candidates in the word search process, same code search process, or other variations of the same code search process described above may be displayed in a manner different from other goods (services) for which there are no change candidates. I can do it.

Further, in the first to twelfth embodiments and their variations, the target is trademark registration in which one product (service) is specified in one category, but the invention is not limited to this. Trademark registration that specifies multiple products (services) can be targeted.

In addition, in the first to twelfth embodiments and their variations, the trademark registration case is aimed at trademark registration, but is not limited to this, and the trademark registration case is (1) trademark registration application. (2) Covering applications for trademark registration and trademark registration; (3) Covering applications for defensive mark registration; (4) Covering defensive mark registration; (5) Defensive marks It may cover chapter registration applications and defensive mark registrations, or (6) a combination of trademark registration applications or trademark registrations and defensive mark registration applications or defensive mark registrations. Regarding (6), it is assumed that, depending on the situation such as public awareness, trademark registration may be changed to defensive mark registration, or defensive mark registration may be changed to trademark registration.

Furthermore, in the seventh embodiment, learning is performed based on information in which one product (service) specified in a trademark registration is associated with another product (service) specified in the trademark registration. Although a trained model is used, the present invention is not limited to this, and a trained model that has been trained based on information associated with other data can be used as long as similar results can be obtained. The same applies to the trained models in the eighth to twelfth embodiments.

In addition, in the seventh embodiment and its modifications, the learning data set is generated based on the information in the tables 400, 420, and 440, but the invention is not limited to this, and the training data set is generated based on the information in the trademark gazette data without using the table. A trained model can be generated based on the The same applies to the learned models in the ninth, tenth to twelfth embodiments.

Further, in the eighth embodiment and its modification example, the learning data set is generated based on the information in the tables 400, 420, 440, 600b, and 620b, but the invention is not limited to this, and the learning data set can be generated without using the table. A trained model can be generated based on trademark publication data and corporate registry certified copy data.

In addition, in the twelfth embodiment and its modifications, the eleventh embodiment is applied to the seventh embodiment, but the invention is not limited to this. The eleventh embodiment described above can be applied to the form. In this case as well, similarly to the eleventh embodiment above, the learned model 2 that has been trained based on information regarding compatible products (services) is used to calculate the related products (services) estimated by the related product estimation process. Estimate conforming products (services).

In addition, in the eleventh and twelfth embodiments and their modifications, a trained model that is trained based on information regarding compatible products (services) is used; however, the model is not limited to this. ) and non-conforming products (services) can be used.

In addition, in the twelfth embodiment and its modifications, the eleventh embodiment is applied to the seventh embodiment, but the following configuration may be adopted. can.

In the first configuration, a product (service) is input, a product (service) corresponding to the input product (service) is searched from tables 400, 420, and 440, and learning is performed based on information regarding the compatible product (service). Using the learned model 2, related compatible products (services) are estimated from the found related products (services).

In the second configuration, business content is input, products (services) corresponding to the input business content are searched from tables 400, 420, 440, 600b, and 620b, and learning is performed based on information regarding compatible products (services). Using the learned model 2, related compatible products (services) are estimated from the found related products (services).

The third configuration is to input a right holder, search the tables 400, 420, 440, 600c, and 620c for products (services) corresponding to the input right holder, and perform learning based on information about compatible products (services). Using the learned model 2, related compatible products (services) are estimated from the found related products (services).

The fourth configuration is to input a representative, search the tables 400, 420, 440, 600d, and 620d for products (services) corresponding to the entered representative, and perform learning based on information regarding compatible products (services). Using the learned model 2, related compatible products (services) are estimated from the found related products (services).

The fifth configuration uses a trained model that is trained based on information in which business details are input and the goods (services) specified in trademark registration are associated with the business details of the owner of the trademark registration. Then, the related products (services) are estimated from the input business details, and the learned model 2, which is trained based on the information about the compatible products (services), is used to search for related products (services) from the searched related products (services). (services) to be estimated.

In the sixth configuration, a right holder is input, and a trained model is trained based on information in which the goods (services) specified in trademark registration and the right holder of the trademark registration are associated. Using the trained model 2, which is trained based on information about compatible products (services), the related products (services) are estimated from the right holders that have been searched, and the related products (services) are extracted from the searched related products (services). Estimate.

In the seventh configuration, an agent is input, and a learned model is trained based on information in which the goods (services) specified in trademark registration and the agent for that trademark registration are associated. Using trained model 2, which is trained based on information about compatible products (services), the related products (services) are estimated from the retrieved related products (services). Estimate.

Further, in the first to twelfth embodiments and their modifications, the trademark support device 100 is realized as a single device, but the invention is not limited to this, and can be realized as a network system as shown in FIG. can do.

FIG. 55 is a block diagram showing the configuration of the network system.
As shown in FIG. 55, a trademark support server 200 and a plurality of user terminals 300 are connected to a network 199 such as the Internet. The trademark support server 200 is configured to have the same functions as the trademark support device 100 in the first to twelfth embodiments. The difference is that information is received from the user terminal 300 instead of inputting through the input device 40, and information is transmitted to the user terminal 300 instead of being displayed on the display device 44.

Further, in the first to twelfth embodiments and their modifications, the storage device 42 is installed in the trademark support device 100 or the trademark support server 200, but the storage device 42 is not limited thereto. 200 can be installed in another database terminal communicatively connected to the database terminal 200. In this case, in response to a request from the trademark support device 100 or the trademark support server 200, the database terminal reads information related to the request from the storage device 42 and transmits it to the requesting terminal.

Furthermore, in this modification, the tables 400, 420, 440, 460, 480, 600b, 620b, 600c, 620c, 600d, 620d, product list 490, trademark gazette data, corporate register transcript data, and learned model data are Any of them can be installed on the database terminal, and tables 400, 420, 440, 460, 480, 600b, 620b, 600c, 620c, 600d, 620d, product list 490, trademark gazette data, corporate register certified copy data, and have been learned. A configuration may be adopted in which the remaining model data is installed in the trademark support device 100 or the trademark support server 200.

Furthermore, in the first to twelfth embodiments and their modifications, FIGS. 8, 12, 18, 22, 25, 30, 35, 40, 42, 44, , 48, 50, and 53, the explanation has been given on the case where a program stored in advance in the ROM 32 is executed, but the present invention is not limited to this. The program may be read into the RAM 34 from a storage medium in which the program is stored and executed.

Here, the storage medium refers to semiconductor storage media such as RAM and ROM, magnetic storage media such as FD and HD, optically readable storage media such as CD, CDV, LD, and DVD, and magnetic storage media such as MO. / Optically readable storage medium includes any storage medium that can be read by a computer, regardless of the reading method such as electronic, magnetic, optical, etc.

Furthermore, the first to twelfth embodiments and their modifications can be applied to each other. For example, the following configuration can be adopted.

The first configuration outputs related products (services) obtained through a plurality of related product search processes among the related product search processes in the first, second, fourth to sixth embodiments. In this case, duplicate related products (services) can be combined into one and outputted by adding up the number of appearances. The same applies to the third configuration below.

The second configuration outputs related products (services) obtained through a plurality of related product estimation processes among the related product estimation processes in the seventh to tenth embodiments. In this case, duplicate related products (services) can be integrated into one.

The third configuration is obtained through a plurality of processes among the related product search processes in the first, second, fourth to sixth embodiments and the related product estimation processes in the seventh to tenth embodiments. Output the related products (services) that were created.

Furthermore, the present invention is not limited to the first to twelfth embodiments and their modifications, and may be applied to other cases without departing from the spirit of the present invention. For example, the present invention can be applied when preparing an application for trademark registration or defensive mark registration, or when preparing a list of goods or services specified in an application for trademark registration or defensive mark registration. can.

100...trademark support device, 30...CPU, 32...ROM, 34...RAM, 38...I/F, 39...bus, 40...input device, 42...storage device, 44...display device, 199...network, 200...trademark Support server, 300...User terminal, 400...Trademark registration table, 420...Product table, 440...Product correspondence table, 460...Change rule table, 480...Compatible product table, 490...Product list, 402, 404, 422-428, 442, 444, 462-474, 482-488, 602b, 604b, 602c, 604c, 602d, 604d, 622b, 624b, 622c, 624c, 622d, 624d...Field, 500...Text box, 502...Search button, 504... Search result display area, 506, 530... check box, 508... product list display area, 510... edit button, 516, 518... icon, 520, 522... display area, 524... word search tab, 526... same code search tab, 528...Change candidate display area, 532...Enter button, 600b...Business content table, 620b...Business content correspondence table, 600c...Right holder table, 620c...Right holder correspondence table, 600d...Agent table, 620d...Agent correspondence table

Claims (12)

Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
Based on the change rule of the product information storage means that stores the product information regarding the second product or service or the group to which it belongs in association with the product information regarding the first product or service or the group to which it belongs, as a change rule, a trademark characterized in that it comprises a changing means for changing the first product or service, or the group to which it belongs, according to the product information acquired by the product information acquisition means, to the second product or service, or the group to which it belongs; support system. In claim 1,
The product information storage means stores product information regarding the first product or service or a group to which it belongs as a deletion rule;
A trademark support system comprising a deletion means for deleting the first product or service or a group to which the first product or service relates to the product information acquired by the product information acquisition device, based on a deletion rule of the product information storage device. . Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
Obtaining the product information from a product information storage means that includes part or all of the product information regarding the first product or service or the group to which it belongs, and stores second product information regarding the second product or service or the group to which it belongs. a second product information acquisition means for acquiring the second product information corresponding to information including part or all of the product information acquired by the means;
Based on the second product information acquired by the second product information acquisition means, the first product or service related to the product information acquired by the product information acquisition means or the group to which it belongs is transferred to the second product or service. or a changing means for changing the group to which the trademark belongs. Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
The product information acquisition means acquires second product information about the second product or service or the group to which it belongs from the product information storage means that stores it in association with the product information about the first product or service or the group to which it belongs. second product information acquisition means for acquiring the second product information corresponding to the product information obtained;
Based on the second product information acquired by the second product information acquisition means, the first product or service related to the product information acquired by the product information acquisition means or the group to which it belongs is transferred to the second product or service. or a changing means for changing the group to which the trademark belongs. In any one of claims 3 and 4,
If the corresponding second product information does not exist in the product information storage means, a deletion means is provided for deleting the first product or service related to the product information acquired by the product information acquisition means or the group to which it belongs. A trademark support system featuring: Element information acquisition means for acquiring element information regarding a third element, which is at least one element among the third product or service, or the group to which it belongs, business content, business operator, and agent;
The product information acquisition means and the change means according to claim 1, or the product information acquisition means, second product information acquisition means and change means according to any one of claims 3 and 4;
and product information output means for outputting product information regarding the product or service or the group to which it belongs based on the change result of the change means,
The product information acquisition means associates first product information regarding the first product or service, or a group to which it belongs, with element information regarding the third element, based on the element information acquired by the element information acquisition means. A trademark support system characterized in that the first product information is acquired from a second product information storage means that stores the first product information. In claim 6,
comprising statistical information acquisition means for acquiring statistical information on the product information acquired by the product information acquisition means, the product or service changed by the change means, or the group to which it belongs,
The trademark support system is characterized in that the product information output means outputs product information regarding the product or service, or the group to which it belongs, based on the change result of the change device and the statistical information acquired by the statistical information acquisition device. Element information acquisition means for acquiring element information regarding a third element, which is at least one element among the third product or service, or the group to which it belongs, business content, business operator, and agent;
The product information acquisition means and the change means according to claim 1, or the product information acquisition means, second product information acquisition means and change means according to any one of claims 3 and 4;
and product information output means for outputting product information regarding the product or service or the group to which it belongs based on the change result of the change means,
The product information acquisition means uses a trained model that has been trained based on information in which first product information regarding the first product or service or the group to which it belongs and element information regarding the third element are associated. The trademark support system is characterized in that the first product information is estimated from the element information acquired by the element information acquisition means. Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
Based on the product information regarding the second product or service related to the first product or service or the group to which it belongs, the first product or service related to the product information acquired by the product information acquisition means or the group to which it belongs. A trademark support system comprising: changing means for changing the second product or service or the group to which the second product or service belongs. Product information acquisition means for acquiring product information regarding the first product or service or the group to which the first product or service belongs;
Estimating means for estimating the second product information from the product information acquired by the product information acquisition means, using a trained model that has been trained based on second product information regarding the second product or service or the group to which the second product or service belongs. A trademark support system characterized by comprising: a product information acquisition means for acquiring product information regarding the product or service or the group to which it belongs;
A trademark support system comprising: a deletion means for deleting a product or service or a group to which the product or service belongs, based on product information about the product or service or a group to which the product or service belongs, based on product information about the product or service or a group to which the product or service belongs. A trademark characterized by comprising the changing means according to any one of claims 1 to 9, the estimating means according to claim 10, or the deleting means according to any one of claims 2, 5, and 11. support system.

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