CN111767370A - Associated entity mining method, system and computer readable medium - Google Patents
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Abstract
The application discloses a method, a system and a computer readable medium for mining associated entities, wherein the method comprises the following steps: determining one or more first technical documents corresponding to the target entity; extracting one or more features from the unstructured text in the one or more first technical documents; determining one or more business association entities based on the one or more characteristics.
Description
Technical Field
The invention relates to a method and a system for mining associated entities. In particular to a related entity mining method and system based on technical literature.
Background
Businesses are concerned with entities associated with them, such as competitors, partners, upstream and downstream vendors, and so on. The existing method for searching the associated entities is mainly obtained through an online large e-commerce platform and offline enterprise communication or exhibition, comprehensive and accurate searching is difficult to retrieve, and a user has to spend a great deal of effort and cost to obtain the content of the associated entities.
Disclosure of Invention
Aiming at the situation that the associated entity is not easy to obtain in the prior art, the application provides an associated entity mining method.
One aspect of the present application relates to a method for mining associated entities, including: determining one or more first technical documents corresponding to the target entity; extracting one or more features from the unstructured text in the one or more first technical documents; determining one or more business association entities based on the one or more characteristics.
In some embodiments, said determining one or more business association entities based on said one or more characteristics comprises: screening one or more characteristics corresponding to the target entity product from the one or more characteristics; determining one or more second technical documents based on the one or more corresponding characteristics of the product; based on the one or more second technical documents, one or more competitor entities are determined.
In some embodiments, said determining one or more business association entities based on said one or more characteristics comprises: screening one or more characteristics corresponding to the component parts of the target entity product from the one or more characteristics; determining one or more third technical documents based on one or more characteristics corresponding to the component parts of the target entity product; based on the one or more third technical documents, one or more upstream provider entities are determined.
In some embodiments, said determining one or more business association entities based on said one or more characteristics comprises: screening one or more characteristics corresponding to the purpose of the target entity product from the one or more characteristics; determining one or more fourth technical documents based on one or more characteristics corresponding to the purpose of the target entity product; based on the one or more fourth technical documents, one or more downstream entities are determined.
Yet another aspect of the present application relates to a related entity mining system, comprising: a target entity literature determination unit, configured to determine one or more first technical literatures corresponding to a target entity; a feature extraction unit for extracting one or more features from the unstructured text in the one or more first technical documents; a service associated entity determining unit, configured to determine one or more service associated entities based on the one or more characteristics.
In some embodiments, the service association entity determining unit includes: the first screening subunit is used for screening one or more characteristics corresponding to the target entity product from the one or more characteristics; a first associated entity document determination subunit configured to determine one or more second technical documents based on one or more characteristics corresponding to the product; a first associated entity determining subunit to determine one or more competitor entities based on the one or more second technical documents.
In some embodiments, the service association entity determining unit includes: the second screening subunit is used for screening one or more characteristics corresponding to the component parts of the target entity product from the one or more characteristics; a second associated entity literature determination subunit, configured to determine one or more third technical literatures based on one or more characteristics corresponding to the component parts of the target entity product; a second associated entity determining subunit for determining one or more upstream provider entities based on the one or more third technical documents.
In some embodiments, the service association entity determining unit includes: a third screening subunit, configured to screen one or more characteristics corresponding to the use of the target entity product from the one or more characteristics; a third associated entity literature determination subunit, configured to determine one or more fourth technical literatures based on one or more characteristics corresponding to the usage of the target entity product; a third associated entity determining subunit for determining one or more downstream entities based on the one or more fourth technical documents.
Another aspect of the application relates to an electronic device comprising a processor that performs the associative entity mining method.
Another aspect of the present application relates to a computer-readable storage medium storing computer instructions that, when read by a computer, perform the associated entity mining method.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only some embodiments of the application, and that it is also possible for a person skilled in the art to apply the application to other similar scenarios without inventive effort on the basis of these drawings. Unless otherwise apparent from the context of language or otherwise indicated, like reference numerals in the figures refer to like structures and operations.
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below.
FIG. 1 is a schematic diagram illustrating a method of mining associated entities according to some embodiments of the present application;
FIG. 2 is a schematic diagram illustrating a method of determining an associated entity according to some embodiments of the present application;
FIG. 3 is a schematic diagram illustrating a method of determining an associated entity according to some embodiments of the present application;
FIG. 4 is a schematic diagram illustrating a method of associated entity determination according to some embodiments of the present application; and
FIG. 5 is a schematic diagram of an associated entity mining system according to some embodiments of the present application.
Detailed Description
In the following detailed description, numerous specific details of the present application are set forth by way of examples in order to provide a thorough understanding of the relevant disclosure. It will be apparent, however, to one skilled in the art that the present application may be practiced without these specific details. It should be understood that the use of the terms "system," "apparatus," "unit" and/or "module" herein is a method for distinguishing between different components, elements, portions or assemblies at different levels of sequential arrangement. However, these terms may be replaced by other expressions if they can achieve the same purpose.
It will be understood that when a device, unit or module is referred to as being "on" … … "," connected to "or" coupled to "another device, unit or module, it can be directly on, connected or coupled to or in communication with the other device, unit or module, or intervening devices, units or modules may be present, unless the context clearly dictates otherwise. For example, as used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the present application. As used in the specification and claims of this application, the terms "a", "an", and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" are intended to cover only the explicitly identified features, integers, steps, operations, elements, and/or components, but not to constitute an exclusive list of such features, integers, steps, operations, elements, and/or components.
These and other features and characteristics of the present application, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will be better understood upon consideration of the following description and the accompanying drawings, which form a part of this specification. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the application. It will be understood that the figures are not drawn to scale.
Various block diagrams are used in this application to illustrate various variations of embodiments according to the application. It should be understood that the foregoing and following structures are not intended to limit the present application. The protection scope of this application is subject to the claims.
In the aspect of online entity retrieval, entities are obtained mainly by keyword matching or association and company name matching or association, for example, content retrieval in an applicant field and a classification field (for example, IPC classification) of a patent text is performed to realize intelligent recommendation of associated entities, but the recommendation results are very noisy.
FIG. 1 is a schematic diagram illustrating a method of related entity mining according to some embodiments of the present application.
At 102, one or more first technical documents corresponding to the target entity are determined. In some embodiments, the target entity is a company name of the customer or a customer-specified company name. The one or more first technical documents corresponding to the target entity may refer to intellectual property rights of documents owned by the target entity or an author of documents (e.g., an author of a paper, an inventor of a patent, etc.) at the target entity. The first technical document may be a product document such as a patent, a paper, a copyright, a software copyright, a circuit layout design, and the like.
At 104, one or more features are extracted from the unstructured text in the one or more first technical documents. In some embodiments, the extracted one or more features may be features characterizing a target physical product, a component part of a product, or a use of a product. The unstructured text is textual content that contains unstructured data.
At 106, one or more business association entities are determined based on the one or more characteristics. In some embodiments, the one or more business-related entities may be competitors of the target entity, upstream providers, downstream potential customers, and the like.
Fig. 2 is a schematic diagram illustrating a method for determining an associated entity according to some embodiments of the present application. Specifically, the process in fig. 2 is an embodiment of 106 in fig. 1.
At 202, one or more characteristics corresponding to the target entity product are screened from the one or more characteristics. Taking the patent literature as an example, in general, the content of a patent protection can be a product or a method. The process may also be considered a product. For example, a calibration method, a device that uses the product (calibration method) can be considered a downstream potential customer of the target entity. Other correction methods (like products) may be considered competitors to the target entity.
At 204, one or more second technical documents are determined based on the one or more characteristics corresponding to the target entity product. In some embodiments, the one or more characteristics corresponding to the target entity product may be characteristics characterizing a product of a target entity company. For example, the product of the target entity company is a mobile phone. The one or more characteristics of the product may be one or more characteristics characterizing the handset.
In some embodiments, the determining one or more second technical documents based on the one or more corresponding features of the target entity product may be determining one or more keywords based on the target entity product, and determining one or more second technical documents based on the one or more keywords. More specifically, the one or more second technical documents may be retrieved based on the one or more search terms. The one or more second technical documents are technical documents of corresponding products, which are also mobile phones.
At 206, one or more competitor entities are determined based on the one or more second technical documents. In some embodiments, the one or more competitor entities may be extracted from the one or more second technical documents. Taking the patent document as an example, the one or more competitor entities may be the applicants of the one or more second technical documents.
Fig. 3 is a schematic diagram illustrating a method for determining an associated entity according to some embodiments of the present application. Specifically, the process in fig. 3 is an embodiment of 106 in fig. 1.
At 302, one or more characteristics corresponding to the components of the target entity product are screened from the one or more characteristics. For example, the product of the target entity is a mobile phone. The one or more features may be a smartphone, an old man, a display screen, mechanical buttons, a photoreceptor, etc. One feature corresponding to the component part of the mobile phone extracted from the one or more features may be a display screen, a photoreceptor, and the like.
At 304, one or more third technical documents are determined based on the one or more characteristics corresponding to the component parts of the target entity product. In some embodiments, the determining one or more third technical documents based on the one or more characteristics corresponding to the component parts of the target entity product may be determining one or more keywords based on the target entity product, and determining one or more third technical documents based on the one or more keywords. More specifically, the one or more third technical documents may be retrieved based on the one or more search terms.
At 306, one or more upstream provider entities are determined based on the one or more third technical documents. Since the one or more third technical documents are determined based on one or more characteristics corresponding to the constituent components of the target entity product, the entity to which the one or more third technical documents correspond is an upstream supplier entity. As exemplified above, when the product of the target entity is a mobile phone, the corresponding one or more features of the components of the target entity product are a display screen, a photoreceptor, and the like. The one or more upstream supplier entities may be a display provider, a photoreceptor provider, etc. More specifically, the display screen provider may be a display panel provider such as temab microelectronics, kyoto, or samsung.
Fig. 4 is a schematic diagram illustrating a method for determining an associated entity according to some embodiments of the present application. Specifically, the process in fig. 4 is an embodiment of 106 in fig. 1.
At 402, one or more characteristics corresponding to the purpose of the target entity product are screened from the one or more characteristics. In some embodiments, the use of the target entity product may be a device for assembling the target entity product (or a device for applying the target entity method). For example, the product may be a focusing method. The purpose of the product may refer to a camera using the method, and the corresponding one or more features may refer to a camera, a mobile phone, or the like using the method.
At 404, one or more fourth technical documents are determined based on the one or more characteristics corresponding to the usage of the target entity product. In some embodiments, the determining one or more fourth technical documents based on the one or more characteristics corresponding to the usage of the target entity product may be determining one or more keywords based on the usage of the target entity product, and determining one or more fourth technical documents based on the one or more keywords. More specifically, the one or more fourth technical documents may be retrieved based on the one or more search terms.
At 406, one or more downstream entities are determined based on the one or more fourth technical documents. Since the one or more fourth technical documents are determined based on the one or more characteristics corresponding to the usage of the target entity product, the one or more downstream entities. The one or more downstream entities may be potential customers. Taking a patent document as an example, for example, a patent document of a target entity is a method patent, then the APP corresponding to the method may be preset and installed in a smart phone. The smartphone vendor may be a potential customer of the target entity.
In the description of fig. 2-4, the determination process of the one or more competitor entities, upstream supplier entity, downstream potential customer entity may further include a noise removal process. For example, the one or more second technical documents china may contain at least one of the one or more first technical documents. Therefore, taking the patent documents as an example, it is necessary to remove the one or more first technical documents from the one or more second technical documents; or removing the target entity from the determined one or more competitor entities, upstream provider entities, downstream potential customer entities. In some embodiments, the relationship processing between the parent company and the subsidiary company or the branch company can be further included in the processing of the target entity, one or more competitor entities, the upstream supplier entity, and the downstream potential customer entity. For example, a parent company is merged with a subsidiary.
In some embodiments, the determination process of the one or more competitor entities, upstream supplier entity, downstream potential customer entity is a process that is ordered based on the number of documents. For example, taking the patent document as an example, the competitor entity with the largest number of second patent documents is ranked, and one or more competitor entities are determined.
In some embodiments, the determining one or more second technical documents based on the one or more characteristics corresponding to the target entity product, the determining one or more third technical documents based on the one or more characteristics corresponding to the components of the target entity product, or the determining one or more fourth technical documents based on the one or more characteristics corresponding to the use of the target entity product may be based on a matching threshold. For example, when one or more features corresponding to the target entity product are mobile phones, a keyword of one technical document is a smart phone, the matching degree of the "smart phone" and the "mobile phone" is judged, and whether the technical document is a second technical document is determined based on the matching degree. Specifically, when the matching degree is greater than (or not less than) a preset threshold, this technical document is determined as the second technical document.
FIG. 5 is a schematic diagram of an associated entity mining system according to some embodiments of the present application. As shown in fig. 5, the associated entity mining system 500 includes a target entity document determining unit 510, a feature extracting unit 520, and a business associated entity determining unit 530.
The target entity document determining unit 510 is configured to determine one or more first technical documents corresponding to the target entity. The feature extraction unit 520 is configured to extract one or more features from the unstructured text in the one or more first technical documents. The service association entity determining unit 530 is configured to determine one or more service association entities based on the one or more characteristics.
The three units in the associated entity mining system 500 are configured to execute the associated entity mining method described in fig. 1, and the associated entity mining method is not described herein again.
In some embodiments, the service association entity determining unit 530 includes a first screening subunit, a first association entity document determining subunit, and a first association entity determining subunit. The first screening subunit is used for screening one or more characteristics corresponding to the target entity product from the one or more characteristics; the associated entity literature determination subunit is used for determining one or more second technical literatures based on one or more corresponding characteristics of the product; the associated entity determining subunit is configured to determine one or more competitor entities based on the one or more second technical documents. The three subunits are used for executing the method for determining an association entity as described in fig. 2, and are not described herein again.
In some embodiments, the service association entity determining unit 530 includes a second screening subunit, a second association entity document determining subunit, and a second association entity determining subunit. The screening subunit is used for screening one or more characteristics corresponding to the component parts of the target entity product from the one or more characteristics; the associated entity literature determination subunit is used for determining one or more third technical literatures based on one or more characteristics corresponding to the component parts of the target entity product; the association entity determining subunit is configured to determine one or more upstream provider entities based on the one or more third technical documents. The three subunits are used for executing the method for determining an association entity as described in fig. 3, and are not described herein again.
In some embodiments, the service association entity determining unit 530 includes a third screening sub-unit, a third association entity document determining sub-unit, and a third association entity determining sub-unit. The screening subunit is used for screening one or more characteristics corresponding to the purpose of the target entity product from the one or more characteristics; the associated entity literature determination subunit is used for determining one or more fourth technical literatures based on one or more characteristics corresponding to the purposes of the target entity product; the associated entity determining subunit is configured to determine one or more downstream entities based on the one or more fourth technical documents. The three subunits are used for executing the method for determining an association entity as described in fig. 4, and are not described herein again.
Compared with the prior art, the beneficial effects of this application show as follows:
firstly, a business association entity is determined through technical literature, and inaccurate factors such as manual omission are reduced.
And secondly, different upstream and downstream entities are determined based on different characteristics, so that business opportunities are provided for customers.
Various aspects of the methods outlined above and/or methods in which other steps are implemented by the program. Program portions of the technology may be thought of as "products" or "articles of manufacture" in the form of executable code and/or associated data embodied in or carried out by a computer readable medium. Tangible, non-transitory storage media include memory or storage for use by any computer, processor, or similar device or associated module. Such as various semiconductor memories, tape drives, disk drives, or similar devices capable of providing storage functions for software at any one time.
All or a portion of the software may sometimes communicate over a network, such as the internet or other communication network. Such communication enables loading of software from one computer device or processor to another. For example: from a management server or host computer of the intelligent robot system to a hardware platform of a computer environment or other computer environment implementing the system or similar functionality related to the information required by the intelligent robot system. Thus, another medium capable of transferring software elements may also be used as a physical connection between local devices, such as optical, electrical, electromagnetic waves, etc., propagating through cables, optical cables, or the air. The physical medium used for the carrier wave, such as an electric, wireless or optical cable or the like, may also be considered as the medium carrying the software. As used herein, unless limited to a tangible "storage" medium, other terms referring to a computer or machine "readable medium" refer to media that participate in the execution of any instructions by a processor.
Thus, a computer-readable medium may take many forms, including but not limited to, a tangible storage medium, a carrier wave medium, or a physical transmission medium. The stable storage medium comprises: optical or magnetic disks, and other computer or similar devices, capable of implementing the system components described in the figures. Volatile storage media include dynamic memory, such as the main memory of a computer platform. Tangible transmission media include coaxial cables, copper cables, and fiber optics, including the wires that form a bus within a computer system. Carrier wave transmission media may convey electrical, electromagnetic, acoustic, or light wave signals, which may be generated by radio frequency or infrared data communication methods. Common computer-readable media include hard disks, floppy disks, magnetic tape, any other magnetic medium; CD-ROM, DVD-ROM, any other optical medium; punch cards, any other physical storage medium containing a pattern of holes; RAM, PROM, EPROM, FLASH-EPROM, any other memory chip or cartridge; a carrier wave transmitting data or instructions, a cable or connection transmitting a carrier wave, any other program code and/or data which can be read by a computer. These computer-readable media may take many forms, and include any type of program code for causing a processor to perform instructions, communicate one or more results, and/or the like.
Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Those skilled in the art will appreciate that various modifications and improvements may be made to the disclosure herein. For example, the different system components described above are implemented by hardware devices, but may also be implemented by software solutions only. For example: the system is installed on an existing server. Further, the location information disclosed herein may be provided via a firmware, firmware/software combination, firmware/hardware combination, or hardware/firmware/software combination.
The foregoing describes the present application and/or some other examples. The present application is susceptible to various modifications in light of the above teachings. The subject matter disclosed herein can be implemented in various forms and examples, and the present application can be applied to a wide variety of applications. All applications, modifications and variations that are claimed in the following claims are within the scope of this application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, articles, and the like, cited in this application is hereby incorporated by reference in its entirety. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, embodiments of the present application are not limited to those explicitly described and depicted herein.
Claims (10)
1. A method for mining associated entities is characterized by comprising the following steps:
determining one or more first technical documents corresponding to the target entity;
extracting one or more features from the unstructured text in the one or more first technical documents;
determining one or more business association entities based on the one or more characteristics.
2. The method of claim 1, wherein determining one or more business association entities based on the one or more characteristics comprises:
screening one or more characteristics corresponding to the target entity product from the one or more characteristics;
determining one or more second technical documents based on the one or more corresponding characteristics of the product;
based on the one or more second technical documents, one or more competitor entities are determined.
3. The method of claim 1, wherein determining one or more business association entities based on the one or more characteristics comprises:
screening one or more characteristics corresponding to the component parts of the target entity product from the one or more characteristics;
determining one or more third technical documents based on one or more characteristics corresponding to the component parts of the target entity product;
based on the one or more third technical documents, one or more upstream provider entities are determined.
4. The method of claim 1, wherein determining one or more business association entities based on the one or more characteristics comprises:
screening one or more characteristics corresponding to the purpose of the target entity product from the one or more characteristics;
determining one or more fourth technical documents based on one or more characteristics corresponding to the purpose of the target entity product;
based on the one or more fourth technical documents, one or more downstream entities are determined.
5. A system for mining associated entities, comprising:
a target entity literature determination unit, configured to determine one or more first technical literatures corresponding to a target entity;
a feature extraction unit for extracting one or more features from the unstructured text in the one or more first technical documents;
a service associated entity determining unit, configured to determine one or more service associated entities based on the one or more characteristics.
6. The system of claim 5, wherein the service association entity determining unit comprises:
the first screening subunit is used for screening one or more characteristics corresponding to the target entity product from the one or more characteristics;
a first associated entity document determination subunit configured to determine one or more second technical documents based on one or more characteristics corresponding to the product;
a first associated entity determining subunit to determine one or more competitor entities based on the one or more second technical documents.
7. The system of claim 5, wherein the service association entity determining unit comprises:
the second screening subunit is used for screening one or more characteristics corresponding to the component parts of the target entity product from the one or more characteristics;
a second associated entity literature determination subunit, configured to determine one or more third technical literatures based on one or more characteristics corresponding to the component parts of the target entity product;
a second associated entity determining subunit for determining one or more upstream provider entities based on the one or more third technical documents.
8. The system of claim 6, wherein the service association entity determining unit comprises:
a third screening subunit, configured to screen one or more characteristics corresponding to the use of the target entity product from the one or more characteristics;
a third associated entity literature determination subunit, configured to determine one or more fourth technical literatures based on one or more characteristics corresponding to the usage of the target entity product;
a third associated entity determining subunit for determining one or more downstream entities based on the one or more fourth technical documents.
9. An electronic device comprising a processor that performs the association entity mining method of any of claims 1-4.
10. A computer readable storage medium storing computer instructions which, when read by a computer, perform the method of associative entity mining according to any one of claims 1 to 4.
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