CN113516570A - Method, apparatus and medium for mining employer potential intellectual property service requirements - Google Patents
Method, apparatus and medium for mining employer potential intellectual property service requirements Download PDFInfo
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Abstract
The embodiment of the invention discloses a method for mining potential intellectual property service requirements of an employer, which comprises the following steps: acquiring interaction behavior data, and matching the interaction behavior data with a database to obtain a service rule chain meeting requirements; performing sequence recombination on the target service rule chain by using a time period, obtaining an effective rule chain by adopting a double-end closure mode, and analyzing to obtain service contents; and according to the service content, carrying out reverse value taking on the existing known production data of the employer to obtain the potential intellectual property service requirement of the employer. By implementing the embodiment of the invention, the service rule chain is formed by learning the intellectual property history data of the employer, and the potential intellectual property service requirement of the employer is deeply mined based on the service rule chain, so that the accuracy of mining the potential intellectual property requirement of the employer is improved. Meanwhile, the system can provide client information with reference value for intellectual property consultants, effectively improve communication efficiency, and provide more comprehensive and professional production-learning service for employers, thereby improving the experience effect of clients.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to a method, a device and a storage medium for mining potential intellectual property service requirements of an employer.
Background
With the advent of the intellectual economy of the information age, the intellectual property creators have become more conscious of the protection of intellectual property. In order to protect intellectual property more reasonably, the intellectual property protection platform needs more professional consulting counselors to provide corresponding intellectual property service requirement solutions for employers. However, the development of professional consultants for intellectual property rights requires a lot of investment, and at the same time, the consulting services of employers cannot be fully guaranteed and the existing requirements of potential intellectual property rights services of clients cannot be effectively mined, so that a lot of intellectual property right creation workers lose effective protection of intellectual property rights in the process of innovation and creation.
Intellectual property has a plurality of protection forms, and different contents need to adopt different protection modes. A simple description of an employer is difficult to assert actual intellectual property service requirements. There is often a large amount of urgent or necessary intellectual property protection needs services behind the simple description of the employer. At present, technical embodiments in the field are single, and each known production service requirement is predicated by adopting a principle of necessarily occurrence, so that the real requirement of a client cannot be completely reflected.
Disclosure of Invention
In view of the above technical shortcomings, an object of the embodiments of the present invention is to provide a method, an apparatus, an electronic device and a storage medium for mining potential intellectual property service requirements of an employer.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a method for mining potential intellectual property service needs of an employer, including:
acquiring recent intellectual property interactive behavior data of an employer;
matching the interaction behavior data with a database to obtain a service rule chain meeting the requirement; the service rule chain comprises a plurality of pieces of rule data, and data attribute association exists among the plurality of pieces of rule data;
performing sequence recombination on the service regular chain by using a time period, and obtaining an effective regular chain by adopting a double-end closure mode;
analyzing the effective rule chain to obtain service content;
and according to the service content, carrying out reverse value taking on the existing known production data of the employer to obtain the potential intellectual property service requirement of the employer.
Before acquiring recent intellectual property interaction behavior data of an employer, the method further comprises constructing a plurality of service rule chains and storing the plurality of service rule chains.
Before acquiring recent intellectual property interaction behavior data of an employer, the method further comprises constructing a plurality of service rule chains and storing the plurality of service rule chains.
As a specific embodiment of the present application, obtaining the aggregation rule specifically includes:
and analyzing the data model to obtain rule data with high service content frequency as the aggregation rule.
Preferably, in some preferred embodiments of the present application, the method further comprises dynamically updating the service rule chain.
In a second aspect, an embodiment of the present invention provides an apparatus for mining potential intellectual property service requirements of an employer, including:
the acquisition unit is used for acquiring recent intellectual property interactive behavior data of an employer;
the matching unit is used for matching the interaction behavior data with a database to obtain a service rule chain meeting the requirement; the service rule chain comprises a plurality of pieces of rule data, and data attribute association exists among the plurality of pieces of rule data;
an excavation unit for:
performing sequence recombination on the service regular chain by using a time period, and obtaining an effective regular chain by adopting a double-end closure mode;
analyzing the effective rule chain to obtain service content;
and according to the service content, carrying out reverse value taking on the existing known production data of the employer to obtain the potential intellectual property service requirement of the employer.
Preferably, in some preferred embodiments of the present application, the apparatus further includes a building unit, configured to build a service rule chain, specifically:
obtaining historical transaction data for an employer;
extracting known production associated data content from the historical transaction data;
establishing a plurality of data models according to the known production associated data content; the data model comprises a known product industry data model, a known product trade mark category data model, a known product trade mark rejection data model, a known product trade mark extension data model, a known product trade mark acceptance data model and a known product patent data model;
identifying each data model to obtain multiple label attributes, and marking the content attributes in each data model according to the multiple label attributes; various tag attributes including industry, time and period;
associating according to the attributes of the various labels to obtain a collection rule;
and performing series connection according to the collection rule and the label attribute to form a service rule chain.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, where the computer program includes program instructions, and the program instructions, when executed by a processor, cause the processor to execute the method of the first aspect.
By implementing the embodiment of the invention, the service rule chain is formed by learning the intellectual property history data of the employer, and the potential and real intellectual property service demands of the employer are deeply mined based on the service rule chain, so that the accuracy of mining the potential intellectual property demands of the employer is improved. Meanwhile, the system can provide client information with reference value for intellectual property consultants, effectively improve communication efficiency, and provide more comprehensive and professional production-learning service for employers, thereby improving the experience effect of clients.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below.
FIG. 1 is a schematic diagram of the present invention;
FIG. 2 is a flow chart of a method of mining employer potential intellectual property service requirements provided by an embodiment of the present invention;
FIG. 3 is a block diagram of an apparatus for mining potential intellectual property service needs of an employer in accordance with an embodiment of the present invention;
fig. 4 is a block diagram of an electronic device provided in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention has the following inventive concept: by learning the service resource data of the employer existing or currently existing in the known production service, the big data algorithm analysis summary is utilized to provide the employer with the currently more suitable known production service requirement. Meanwhile, the platform professional consultants can provide references, collect relevant materials of the employer for the production awareness protection in advance, and provide a more comprehensive production awareness service protection solution for the employer.
Referring to fig. 1 and 2, a method for mining potential intellectual property service requirements of an employer according to an embodiment of the present invention may include:
s1, acquiring historical transaction data of the employer, establishing a known production data model and constructing a service rule chain.
Specifically, S1 mainly includes:
(1) and collecting historical order data of an employer, and extracting the related content of the known production for data modeling.
In the embodiment, the main modeling manner adopts the applicant theme information + the information of the product-aware declaration material to establish a product-aware industry data model, a product-aware trademark category data model, a product-aware trademark rejection data model, a product-aware trademark renewal data model, a product-aware trademark acceptance-free data model, a product-aware patent data model, and the like.
(2) Identifying each data model to obtain multiple label attributes, and marking the content attributes in each data model according to the multiple label attributes; the various tag attributes include industry, time, and period, etc.
In this embodiment, the labeling processing is mainly performed on the polymorphic data, the identification data conforms to various labels such as industry, time, cycle, association, and the like, and the data attribute marking is performed.
(3) And performing association according to the attributes of the various labels to obtain a collection rule.
Specifically, data warehouse data are obtained, content information of each data warehouse is analyzed, and data content with high frequency is found from the data warehouses, so that which data under certain labels in the data model belong to high-frequency services are deduced.
In this embodiment, a FP-growth algorithm is used to obtain a service rule with high frequency in a data warehouse, and the formula is as follows:
wherein S is the support degree; c is a confidence coefficient; n is the total number of the analysis data, X is a set corresponding to a single category of each data warehouse, Y is all data sets of the data warehouse, U represents a union set, sigma represents a standard deviation, and N represents the total number of the analysis data. The lower the support of the association rule, the service is said to be haphazard and will be selectively filtered eventually. In addition, the confidence coefficient can measure the reliability of reasoning for the service meeting the requirements, and the confidence coefficient can be used for limiting extraction when a great amount of data is generated during frequent acquisition and a phenomenon of overweight occurs.
In the present embodiment, rule data with high service content frequency is analyzed and obtained from the data model as an aggregation rule.
(4) Connecting in series according to the collection rule and the label attribute to form a service rule chain
The rule data obtained by matching is relatively single, and the actual demand and the service demand viscosity of the employer cannot be realized. Therefore, in the embodiment, the obtained rule data attribute associated labels are combined and connected in series to form a rule chain with unidirectional labels, and different rule chains have different actual requirement screening modes.
And S2, acquiring recent intellectual property interaction behavior data of the employer.
And S3, matching the interaction behavior data with a database to obtain a service rule chain meeting the requirement.
The service rule chain comprises a plurality of pieces of rule data, and data attribute association exists among the plurality of pieces of rule data.
And S4, performing sequence recombination on the target service rule chain by using a time period, and obtaining an effective rule chain by adopting a double-end closure mode.
Specifically, by collecting employer demand/employer subject data characteristics, rule chains matching requirements are extracted, the rule chains are subjected to sequence recombination by utilizing a time period, and the matching of employer demand with effective rule chains is completed after double-end closure.
Acquiring the requirement content of an employer and the characteristic set formed by the employer, and acquiring the rule chain set corresponding to the label by using the characteristic set and the label basic configuration relation. Periodic/range cuts are made by the nature of each tag's presence to obtain an effective chain of rules that meet the actual needs of the employer.
And S5, analyzing the effective rule chain to obtain service content.
And S6, according to the service content, carrying out reverse value taking on the existing known production data of the employer to obtain the potential intellectual property service requirement of the employer.
Specifically, the effective rule chain is analyzed to obtain service content, and reverse value taking is performed on the existing known production data of the employer based on the service content so as to ensure that no existing repeated/same service content exists.
Further, the method further comprises dynamically updating the service rule chain.
From the above description, it can be known that, by implementing the invention and the method of the embodiment of the invention, the service rule chain is formed by learning the intellectual property history data of the employer, and the potential and real intellectual property service demands of the employer are deeply mined based on the service rule chain, so that the accuracy of mining the potential intellectual property demands of the employer is improved. Meanwhile, the system can provide client information with reference value for intellectual property consultants, effectively improve communication efficiency, and provide more comprehensive and professional production-learning service for employers, thereby improving the experience effect of clients.
Based on the same inventive concept, the embodiment of the invention provides a device for mining the potential intellectual property service requirements of an employer. As shown in fig. 3, the apparatus includes:
the acquiring unit 10 is used for acquiring recent intellectual property interactive behavior data of an employer;
the matching unit 11 is used for matching the interaction behavior data with a database to obtain a service rule chain meeting the requirement; the service rule chain comprises a plurality of pieces of rule data, and data attribute association exists among the plurality of pieces of rule data;
an excavation unit 12 for:
performing sequence recombination on the target service regular chain by using a time period, and obtaining an effective regular chain by adopting a double-end closure mode;
analyzing the effective rule chain to obtain service content;
and according to the service content, carrying out reverse value taking on the existing known production data of the employer to obtain the potential intellectual property service requirement of the employer.
Further, the apparatus further includes a construction unit, configured to construct a service rule chain, specifically:
obtaining historical transaction data for an employer;
extracting known production associated data content from the historical transaction data;
establishing a plurality of data models according to the known production associated data content; the data model comprises a known product industry data model, a known product trade mark category data model, a known product trade mark rejection data model, a known product trade mark extension data model, a known product trade mark acceptance data model and a known product patent data model;
identifying each data model to obtain multiple label attributes, and marking the content attributes in each data model according to the multiple label attributes; various tag attributes including industry, time and period;
associating according to the attributes of the various labels to obtain a collection rule;
and performing series connection according to the collection rule and the label attribute to form a service rule chain.
Optionally, the embodiment of the invention further provides an electronic device. As shown in fig. 4, the electronic device may include: one or more processors 101, one or more input devices 102, one or more output devices 103, and memory 104, the processors 101, input devices 102, output devices 103, and memory 104 being interconnected via a bus 105. The memory 104 is used for storing a computer program comprising program instructions, the processor 101 being configured for invoking the program instructions for performing the methods of the above-described method embodiment parts.
It should be understood that, in the embodiment of the present invention, the Processor 101 may be a Central Processing Unit (CPU), a deep learning graphics card (e.g., NPU, england GPU, google TPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an FPGA (Field-Programmable Gate Array) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 102 may include a keyboard or the like, and the output device 103 may include a display (LCD or the like), a speaker, or the like.
The memory 104 may include read-only memory and random access memory, and provides instructions and data to the processor 101. A portion of the memory 104 may also include non-volatile random access memory. For example, the memory 104 may also store device type information.
In a specific implementation, the processor 101, the input device 102, and the output device 103 described in the embodiment of the present invention may execute the implementation manner described in the embodiment of the method for mining potential intellectual property service requirements of an employer provided in the embodiment of the present invention, and therefore, no further description is given here.
It should be noted that, for the specific work flows and the related details of the apparatus and the electronic device in the embodiments of the present invention, please refer to the foregoing method embodiments, which are not described herein again.
Further, corresponding to the foregoing method and apparatus, the embodiment of the present invention also provides a readable storage medium storing a computer program, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement the method for mining employer potential intellectual property service requirement.
The computer readable storage medium may be an internal storage unit of the system according to any of the foregoing embodiments, for example, a hard disk or a memory of the system. The computer readable storage medium may also be an external storage device of the system, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) Card, Flash memory Card (Flash Card), etc. provided on the system. Further, the computer readable storage medium may also include both an internal storage unit and an external storage device of the system. The computer-readable storage medium is used for storing the computer program and other programs and data required by the system. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A method of mining employer potential intellectual property service requirements, comprising:
acquiring recent intellectual property interactive behavior data of an employer;
matching the interaction behavior data with a database to obtain a service rule chain meeting the requirement; the service rule chain comprises a plurality of pieces of rule data, and data attribute association exists among the plurality of pieces of rule data;
performing sequence recombination on the service regular chain by using a time period, and obtaining an effective regular chain by adopting a double-end closure mode;
analyzing the effective rule chain to obtain service content;
and according to the service content, carrying out reverse value taking on the existing known production data of the employer to obtain the potential intellectual property service requirement of the employer.
2. The method of claim 1, wherein prior to obtaining recent intellectual property interaction behavior data for an employer, the method further comprises constructing and storing a plurality of service rule chains.
3. The method of claim 2, wherein constructing a service rule chain specifically comprises:
obtaining historical transaction data for an employer;
extracting known production associated data content from the historical transaction data;
establishing a plurality of data models according to the known production associated data content; the data model comprises a known product industry data model, a known product trade mark category data model, a known product trade mark rejection data model, a known product trade mark extension data model, a known product trade mark acceptance data model and a known product patent data model;
identifying each data model to obtain multiple label attributes, and marking the content attributes in each data model according to the multiple label attributes; various tag attributes including industry, time and period;
associating according to the attributes of the various labels to obtain a collection rule;
and performing series connection according to the collection rule and the label attribute to form a service rule chain.
4. The method of claim 3, wherein obtaining aggregation rules specifically comprises:
and analyzing the data model to obtain rule data with high service content frequency as the aggregation rule.
5. The method of claim 1, further comprising dynamically updating the service rule chain.
6. An apparatus for mining potential intellectual property service needs of an employer, comprising:
the acquisition unit is used for acquiring recent intellectual property interactive behavior data of an employer;
the matching unit is used for matching the interaction behavior data with a database to obtain a service rule chain meeting the requirement; the service rule chain comprises a plurality of pieces of rule data, and data attribute association exists among the plurality of pieces of rule data;
an excavation unit for:
performing sequence recombination on the service regular chain by using a time period, and obtaining an effective regular chain by adopting a double-end closure mode;
analyzing the effective rule chain to obtain service content;
and according to the service content, carrying out reverse value taking on the existing known production data of the employer to obtain the potential intellectual property service requirement of the employer.
7. The apparatus according to claim 6, wherein the apparatus further comprises a construction unit configured to construct a service rule chain, specifically:
obtaining historical transaction data for an employer;
extracting known production associated data content from the historical transaction data;
establishing a plurality of data models according to the known production associated data content; the data model comprises a known product industry data model, a known product trade mark category data model, a known product trade mark rejection data model, a known product trade mark extension data model, a known product trade mark acceptance data model and a known product patent data model;
identifying each data model to obtain multiple label attributes, and marking the content attributes in each data model according to the multiple label attributes; various tag attributes including industry, time and period;
associating according to the attributes of the various labels to obtain a collection rule;
and performing series connection according to the collection rule and the label attribute to form a service rule chain.
8. An electronic device comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-5.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 1-5.
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| CN102882986A (en) * | 2012-10-23 | 2013-01-16 | 江苏物联网研究发展中心 | One-stop cloud service system for intellectual property of internet of things |
| CN110110001A (en) * | 2019-05-10 | 2019-08-09 | 八戒科技服务有限公司 | Service performance data processing method, device, storage medium and system |
| CN110134798A (en) * | 2019-05-15 | 2019-08-16 | 八戒科技服务有限公司 | A kind of Innovation Demand method for digging, system, terminal and medium |
| CN111210307A (en) * | 2020-01-03 | 2020-05-29 | 武汉理工大学 | Scientific and technological service chain intelligent recommendation system and method with response user preference as core |
| CN112102045A (en) * | 2020-11-19 | 2020-12-18 | 北京梦知网科技有限公司 | Method and system for discovering intellectual property transaction clues |
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- 2021-07-23 CN CN202110835723.3A patent/CN113516570A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102882986A (en) * | 2012-10-23 | 2013-01-16 | 江苏物联网研究发展中心 | One-stop cloud service system for intellectual property of internet of things |
| CN110110001A (en) * | 2019-05-10 | 2019-08-09 | 八戒科技服务有限公司 | Service performance data processing method, device, storage medium and system |
| CN110134798A (en) * | 2019-05-15 | 2019-08-16 | 八戒科技服务有限公司 | A kind of Innovation Demand method for digging, system, terminal and medium |
| CN111210307A (en) * | 2020-01-03 | 2020-05-29 | 武汉理工大学 | Scientific and technological service chain intelligent recommendation system and method with response user preference as core |
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Application publication date: 20211019 |