CN113538179A - DIKW-based intelligent patent application method and system - Google Patents

DIKW-based intelligent patent application method and system Download PDF

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CN113538179A
CN113538179A CN202110657153.3A CN202110657153A CN113538179A CN 113538179 A CN113538179 A CN 113538179A CN 202110657153 A CN202110657153 A CN 202110657153A CN 113538179 A CN113538179 A CN 113538179A
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段玉聪
湛楼高
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Hainan University
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    • G06F40/174Form filling; Merging
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
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Abstract

The invention provides a DIKW-based intelligent patent application method and system, which comprise the following steps: s1, in the patent accepting stage, the patent applicant uploads the application file to a table set by the system, and the system fills the application file into the table through an intelligent filling algorithm; s2, in the preliminary examination stage of the patent, the system judges, identifies or predicts the patent content obviously not conforming to the patent writing standard through a DIKW atlas, and generates the application document with marks or examination notice for reference; s3, in the stage of substantial examination of patent application, the system automatically examines the application file through knowledge representation and semantic recognition technology according to patent laws, patent implementation rules and patent laws, and generates the application file with marks or examination notice for reference; and S4, in the patent authorization stage, the system rechecks and records the authorization text through a DIKW map. The method and the device can reduce the time loss between patent application and authorization.

Description

DIKW-based intelligent patent application method and system
Technical Field
The invention relates to the technical field of patent application, in particular to a DIKW-based intelligent patent application method and system.
Background
The invention patent as a product of technological innovation and industry upgrade will inevitably develop along with the development of technology. Intellectual property rights with the invention patent as the core have been impacted by the rapid development of artificial intelligence technology. Under the background, the industry taking innovation as the original driving force needs to be upgraded continuously along with the development of artificial intelligence so as to meet the requirements of people, the traditional patent application, the examination, the reply, the authorization and other links need to be examined manually, errors are easy to occur due to strong subjectivity of manual work, the efficiency of manual examination is low, and the problem that the application period of a patent is easy to prolong is easily caused.
Disclosure of Invention
Therefore, the present invention is directed to a method and system for intelligent application of a DIKW-based patent, so as to solve at least the above problems.
A DIKW-based intelligent patent application method comprises the following steps:
s1, in the patent accepting stage, the patent applicant uploads the application file to a table set by the system, and the system fills the application file into the table through an intelligent filling algorithm;
s2, in the preliminary examination stage of the patent, the system judges, identifies or predicts the patent content obviously not conforming to the patent writing standard through a DIKW atlas, and generates the application document with marks or examination notice for reference;
s3, in the stage of substantial examination of patent application, the system automatically examines the application file through knowledge representation and semantic recognition technology according to patent laws, patent implementation rules and patent laws, and generates the application file with marks or examination notice for reference;
and S4, in the patent authorization stage, the system rechecks and records the authorization text through a DIKW map.
Further, the intelligent filling algorithm comprises the following steps:
s11: the system analyzes the table uploaded by the patent applicant and extracts the table items in the table, then analyzes the extracted table item information and confirms the intention, and finally divides the table items in the table into important items and non-important items and shows the intention;
s12, automatic filling, the system firstly judges whether there is history information item in the list item, if yes, then fills in the history information item, if not, the system traverses the list item of the list to check whether there is redundancy item, if yes, then pushes out the filling content of the redundancy item according to the rule, and updates the filling content to the dictionary storing the filling content of the current list;
and S13, form submission, wherein the system checks whether the filled entries meet the rules, if so, the form submission is completed, and if not, an error prompt is given.
Further, the DIKW map comprises an application data map, a proofreading data map, an opinion statement data map and a substantive review request data map, wherein the application data map comprises a specification, a claim, an abstract of the specification and a patent request, the proofreading data map comprises patent application information, a signature, a reason for correction, an attachment list and contents for correction, the opinion statement data map comprises patent information, a signature, a statement and an attachment list, and the substantive review request data map comprises patent information, a signature, an attachment list, a remark, a delayed review, a request content and an active abandon modification right.
Further, the system judges, identifies or predicts the patent content obviously not conforming to the patent writing standard through the DIKW atlas, and specifically comprises the following steps: the DIKW map utilizes a contradiction conflict matrix tool to judge, identify or predict patent contents obviously not conforming to the patent writing standard according to the invention creation principle and general engineering parameters.
Further, the step between the step S2 and the step S3 further includes the steps of: and S21, displaying the marked patent application document or the examination notice for reference on a graphical interface in a visual mode, wherein the marked part is marked in different fonts, colors or annotations.
Further, in step S4, the DIKW atlas rechecks and records the authorization document by traversing the patent database.
Correspondingly, the invention also discloses a DIKW-based patent content retrieval system, which comprises a server, wherein the server comprises:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the DIKW-based patent Smart filing method of any of claims 1-6.
Accordingly, the invention also provides a computer-readable medium, characterized in that the program is adapted to carry out the method according to any one of claims 1-6 when executed by a processor.
Compared with the prior art, the invention has the beneficial effects that:
compared with the prior art, the invention has the beneficial effects that:
the application provides a DIKW-based intelligent patent application method, and in a patent acceptance stage, an application file is filled into a form set by a system through an intelligent filling algorithm to complete the submission of the patent application file, so that the number of unsuccessful submission times caused by personal operation errors is reduced; in the preliminary examination stage, the system judges, identifies or predicts the patent content obviously not conforming to the patent writing standard through a DIKW map; in the substantial examination stage, the application file is automatically examined through knowledge representation and semantic recognition technology, the application file with marks or examination notice books which can be provided for reference are generated, and machine intelligent examination is carried out on the patent application file, so that the communication frequency between an applicant and an examiner can be effectively reduced, the invalid time of the examiner for examining the patent is reduced, the time loss from patent application to authorization is reduced, and the quality of the patent application is improved to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive efforts.
FIG. 1 is a flow chart of a patent application of an embodiment of the present invention.
FIG. 2 is a data map content framework diagram of an application according to an embodiment of the present invention.
Fig. 3 is a frame diagram of the content of a compendium data map of an embodiment of the present invention.
FIG. 4 is a data map content framework diagram of an opinion statement book in accordance with an embodiment of the present invention.
Fig. 5 is a substantive review request data map content framework diagram of an embodiment of the invention.
FIG. 6 is a flow chart of an intelligent population algorithm of an embodiment of the present invention.
FIG. 7 is a flow chart of an intent-to-hint algorithm for an embodiment of the present invention.
Fig. 8 is an option filling flow diagram of an embodiment of the invention.
Fig. 9 is a flowchart of a redundant information padding algorithm according to an embodiment of the present invention.
FIG. 10 is a form submission flow diagram of an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, the illustrated embodiments are provided to illustrate the invention and not to limit the scope of the invention.
Referring to fig. 1, the present invention provides a method for intelligent application of a patent based on a DIKW, the method comprising the steps of:
s1, in the patent accepting stage, the patent applicant uploads the application file to a table set by the system, and the system fills the application file into the table through an intelligent filling algorithm;
s2, in the preliminary examination stage of the patent, the system judges, identifies or predicts the patent content obviously not conforming to the patent writing standard through a DIKW atlas, and generates the application document with marks or examination notice for reference;
s3, in the stage of substantial examination of patent application, the system automatically examines the application file through knowledge representation and semantic recognition technology according to patent laws, patent implementation rules and patent laws, and generates the application file with marks or examination notice for reference;
and S4, in the patent authorization stage, the system rechecks and records the authorization text through a DIKW map.
In the accepting stage, the step only needs to submit the relevant data. For the system, the related data types submitted explicitly are also needed, in the step, the system mainly serves the applicant, the applicant uploads the application files to the system, and the intelligent filling algorithm is used for filling the patent application documents to complete the automatic application process.
Preliminary examination stage
After the patent is submitted to the system, the national patent office will issue a payment notice. The applicant needs to pay according to the relevant procedures, and then the patent enters the initial examination stage. During the initial examination, the applicant can also actively submit the amendment to perfect the patent if the applicant needs to modify the patent application document.
For the applicant, the preliminary review stage can help the applicant learn how to write a correct patent.
For examiners, the preliminary examination stage needs to examine the subject of patents, and examine whether the patents written by the applicant are complete, violate national laws, and the like.
In this step, the system will serve the reviewer. The application document is judged through a DIKW map architecture, the patent content obviously not conforming to the patent writing standard is identified or predicted, the application document with marks or an examination notice book for reference is generated, and the DIKW map is established by a server according to the patent application flow.
The application step also comprises an invention patent application publishing stage, and the invention patent will enter the publishing stage after being qualified in initial examination. The patent office can disclose the patent in advance according to the request related to the applicant, and in the step, the national intellectual property office automatically reviews and generates various notices, such as notices issued by the invention patent application, and the like according to the initial review result. Since no one is involved in this step, the present system does not function in this step.
In the stage of substantial examination of the patent application, after the patent application is published, if the applicant already makes a request for substantial examination and pays a fee, the patent application will enter the stage of substantial examination. The applicant can make the request right from the beginning of the patent application or after the publication. And the patents meeting the conditions can be preferentially examined, so that the patent examination progress is accelerated.
During the actual examination, the examiner will communicate with the applicant to make a statement as to whether the patent meets the authorization conditions.
In this step, the system serves both the examiner and the applicant, and automatically examines the application document by techniques such as knowledge representation and semantic recognition according to patent laws and regulations such as patent laws and patent implementation rules, and generates a labeled application document or an examination notice for reference.
Authorisation phase
And after the non-invented patent is qualified in initial examination, entering an authorization stage. The invention patent enters the authorization stage after the actual examination is qualified.
In the step, the system serves the examiner, and the system rechecks and records the authorization text through a DIKW map.
The intelligent filling algorithm comprises the following steps:
s11: the system analyzes the table uploaded by the patent applicant and extracts the table items in the table, then analyzes the extracted table item information and confirms the intention, and finally divides the table items in the table into important items and non-important items and shows the intention;
s12, automatic filling, the system firstly judges whether there is history information item in the list item, if yes, then fills in the history information item, if not, the system traverses the list item of the list to check whether there is redundancy item, if yes, then pushes out the filling content of the redundancy item according to the rule, and updates the filling content to the dictionary storing the filling content of the current list;
and S13, form submission, wherein the system checks whether the filled entries meet the rules, if so, the form submission is completed, and if not, an error prompt is given.
Referring to FIG. 6, in step S11, the applicant imports the form to be filled in into the system, and the system analyzes the form to find the possible intention of the form and the important entries considered by the system, and prompts the user in the current form filling interface. The intention system in which the current form may exist is shown to the user in the form of a text box, and the prompt for the important option is shown in the form of a red filled-in box.
Referring to fig. 7, the intention prompting algorithm flow is as follows: firstly, the system analyzes the types and internal formats of the tables and extracts the table items of the stored tables, secondly, the system extracts the basic information of the tables for the purpose analysis of the tables in the third step, after the purpose analysis is completed and the purpose is confirmed, the system divides the table items in the tables into two types of important items and non-important items, and finally, the purpose of the important table items and the current tables is displayed to a user on a current table filling interface.
In step S12, when the user clicks the automatic filling button, the system pops up whether to automatically fill in history information, such as applicant-related information, contact-related information, and the like. If the user selects yes, the system puts the history information into the corresponding filling box, and completes the filling of the redundant items which can push out the content from other items. Otherwise, the system only performs automatic filling of the redundant items.
Referring to fig. 8 and 9, during form filling, some entries may appear that require repeated filling of the same type of information, such as: the inventor information and the contact information need to be filled in the form at the same time, and the contact is often one of the inventors. After the form filling person fills in the inventor information, the system can fill in other redundant table items in the contact person information for the user as long as filling in the name of the contact person, firstly, the table items of the form are traversed, whether the redundant items exist is checked, if the redundant items exist, the filling content of the redundant items is pushed out according to the rule, and the filling content is updated to a dictionary storing the filling content of the current form for the next form submitting function to complete filling in the form file.
And (4) filling in by the user, displaying the form on the interface by the system and providing a text filling box for the user to fill in.
Referring to fig. 10, in step S13, after completing the filling of the current form, the user clicks the submit button. The system will automatically check if the filled-in content complies with the rules. And if the wrong filling which does not accord with the rule exists, the system pops up a window to prompt the user that the wrong filling exists. If there is no wrong filling, the system detects whether the entry related to the user content in the form is different from the existing content, if so, the system pops up the window to inquire whether the user updates the personal information in the content library, if so, the system updates the personal data stored in the database and completes the filling of the current form file. Otherwise, the system only performs the operation of filling in the current form file.
The DIKW map comprises an application data map, a correction book data map, an opinion statement data map and a substantive examination request data map which are constructed by a system, wherein the application data map comprises a specification, a claim, an abstract and a patent request, the correction book data map comprises patent application information, a signature, a correction reason, an attachment list and correction content, the opinion statement data map comprises patent information, a signature, statement matters, statement opinions and an attachment list, and the substantive examination request data map comprises patent information, a signature, an attachment list, remarks, delayed examinations, request content and positive modification abandonment.
Referring to fig. 2, the application data map is constructed, and when a new invention patent is applied, the specification, the claims, the abstract of the specification, the drawings of the specification and the patent request are submitted.
Referring to fig. 3, a data map of a patent application is constructed, and in the initial examination stage of the patent application process, the applicant can actively submit a patent application to modify the patent so as to complete the patent. Then, the examiner will also examine whether the patent has obvious defects, if yes, the applicant needs to reply to the content of the correction notice and submit the correction book and the revised application book. The content of the correction book comprises: patent application information, correction reason, correction content, accessory list and the like.
Referring to fig. 4, the opinion statement data map is constructed, and in the substantial examination stage of the patent application process, an examiner examines whether the patent document meets the authorization condition. When the authorization condition is not met, the examiner issues a notice. The applicant can make statements or amendments to the patent document based on the notice until the patent is granted or rejected. The opinion statement content comprises: patent application information, statements, and the like.
Referring to fig. 5, the data map of the substantive examination request is constructed, and in the patent application process, after the invention patent is published, the applicant needs to handle the substantive examination procedure of the patent, so that the patent enters the substantive examination stage. In this process, the applicant submits a request for substantial examination. For some patents needing accelerated examination, such as patents of the computer class, preferential examination can also be applied, so that the patents can be examined more quickly. The substantive review request content includes: patent application information, lists of accessories, notes, etc.
The system judges, identifies or predicts the patent content obviously not conforming to the patent writing standard through the DIKW atlas, and specifically comprises the following steps: the DIKW map utilizes a contradiction conflict matrix tool to judge, identify or predict patent contents obviously not conforming to the patent writing specifications according to the invention creation principle and general engineering parameters, and the DIKW map utilizes the contradiction conflict matrix tool in the TRIZ theory of the prior art to judge, identify or predict the patent contents obviously not conforming to the patent writing specifications according to the invention creation principle (shown in table 1) and the general engineering parameters (shown in table 2).
Watch 140 inventive principle (part)
Figure BDA0003113564400000091
Table 248 general engineering parameters (parts)
Figure BDA0003113564400000092
The tool can judge, identify or predict patent contents obviously not conforming to the patent writing specification for the application document, and the method specifically comprises the following steps: for example, when the number of the abstract words of the instruction book in the application document exceeds 300 words, the DIKW map is marked with a striking color through a graphical interface, or the examination notice notes that the number of the abstract words of the instruction book exceeds 300 and does not meet the requirement of patent law.
Further comprising the steps between step S2 and step S3: and S21, visually displaying the marked patent application documents or examination notices for reference on a graphical interface, wherein the marked part is marked in different fonts, colors or annotations, and the marked application documents or examination notices for reference can be conveniently viewed by a user through the reminding of the graphical interface.
In step S4, the DIKW atlas checks and records the authorization document by traversing the patent database, which is created by the server according to all contents in the patent database of the national Bureau of China, and when an application document passes authorization, the DIKW atlas checks and records the authorization document by traversing the patent database, so that the quality of the patent application can be improved by checking and recording, and the occurrence of the accident of the patent application caused by a human registration error is avoided.
Correspondingly, another embodiment of this application still provides a patent intelligence application system based on DIKW, includes the server, the server includes:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the methods as described in the foregoing method embodiments.
A computer-readable medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the method of the preceding method embodiment.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (8)

1. A DIKW-based intelligent patent application method is characterized by comprising the following steps:
s1, in the patent accepting stage, the patent applicant uploads the application file to a table set by the system, and the system fills the application file into the table through an intelligent filling algorithm;
s2, in the preliminary examination stage of the patent, the system judges, identifies or predicts the patent content obviously not conforming to the patent writing standard through a DIKW atlas, and generates the application document with marks or examination notice for reference;
s3, in the stage of substantial examination of patent application, the system automatically examines the application file through knowledge representation and semantic recognition technology according to patent laws, patent implementation rules and patent laws, and generates the application file with marks or examination notice for reference;
and S4, in the patent authorization stage, the system rechecks and records the authorization text through a DIKW map.
2. The DIKW-based intelligent patent application method according to claim 1, wherein the intelligent filling algorithm comprises the following steps:
s11: the system analyzes the table uploaded by the patent applicant and extracts the table items in the table, then analyzes the extracted table item information and confirms the intention, and finally divides the table items in the table into important items and non-important items and shows the intention;
s12, automatic filling, the system firstly judges whether there is history information item in the list item, if yes, then fills in the history information item, if not, the system traverses the list item of the list to check whether there is redundancy item, if yes, then pushes out the filling content of the redundancy item according to the rule, and updates the filling content to the dictionary storing the filling content of the current list;
and S13, form submission, wherein the system checks whether the filled entries meet the rules, if so, the form submission is completed, and if not, an error prompt is given.
3. The DIKW-based intelligent patent application method according to claim 1, wherein the DIKW map comprises an application data map, a proofreading data map, an opinion statement data map and a substantive review request data map, the application data map comprises an instruction, a claim, an instruction abstract and a patent request, the proofreading data map comprises patent application information, a signature, a correction reason, an attachment list and correction contents, the opinion statement data map comprises patent information, a signature, a statement opinion and an attachment list, and the substantive review request data map comprises patent information, a signature, an attachment list, a remark, a delayed review, a request content and a release active modification claim, which are constructed by a system.
4. The intelligent DIKW-based patent application method according to claim 1, wherein the system judges, identifies or predicts the patent content obviously not conforming to the patent writing specification through a DIKW map, and specifically comprises: the DIKW map utilizes a contradiction conflict matrix tool to judge, identify or predict patent contents obviously not conforming to the patent writing standard according to the invention creation principle and general engineering parameters.
5. The DIKW-based intelligent patent application method of claim 1, wherein the steps between S2 and S3 further comprise: and S21, displaying the marked patent application document or the examination notice for reference on a graphical interface in a visual mode, wherein the marked part is marked in different fonts, colors or annotations.
6. The intelligent DIKW-based patent application method of claim 1, wherein in step S4, the DIKW map is used for rechecking and filing an authorized text by traversing a patent database.
7. The utility model provides a patent intelligence application system based on DIKW which characterized in that, includes the server, the server includes:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-6.
8. Computer readable medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1-6.
CN202110657153.3A 2021-06-11 2021-06-11 DIKW-based intelligent patent application method and system Pending CN113538179A (en)

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Application publication date: 20211022