CN112015737B - Patent data processing method and device, computing equipment and storage medium - Google Patents
Patent data processing method and device, computing equipment and storage medium Download PDFInfo
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Abstract
The application discloses a patent data processing method and device, a computing device and a storage medium. The method comprises the following steps: acquiring at least one piece of patent data of a target patent from an Nth-level data storage module, performing weighted calculation on the at least one piece of patent data to obtain an N-1-level index value corresponding to the Nth-level data storage module, and storing the N-1-level index value in the N-1-level data storage module; respectively acquiring a plurality of ith index values of the target patent from a plurality of ith data storage modules, performing weighted calculation on the plurality of ith index values to obtain corresponding ith-1 index values, and storing the ith-1 index values in the ith-1 data storage modules; iteratively executing the second step until a level 1 index value is obtained; and carrying out weighted operation on a plurality of 1 st-level index values corresponding to the multi-dimensional patent data of the target patent to obtain a final scoring result of the target patent.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a patent data processing method and device, a computing device and a storage medium.
Background
With the increasing communication between domestic enterprises and foreign enterprises, domestic enterprises attach more and more importance to the protection of intellectual property rights of the domestic enterprises, and the quantity and quality of patent applications are greatly increased. Accurate and effective value evaluation of the existing patent documents can guide development work and development direction of technicians, and shorten the development time of projects. At present, the indexes which are accepted by the outside world and can reflect the patent value comprise legal indexes, technical indexes, strategic indexes, marketization indexes, economic indexes and the like, and the indexes can directly reflect the value of the patent.
However, when the computing device reads the patent data in the storage device, it generally uses a polling method to query the patent data to be read, and when the patent data stored in the storage device is too much and the data is repeated and unordered, the speed of querying and reading the patent data from the storage device by the computing device is very slow, thereby resulting in low efficiency of processing data by the computing device.
Disclosure of Invention
In view of the above, embodiments of the present application are directed to providing a method and an apparatus for processing patent data, a computing device and a storage medium, which can improve the speed of querying and reading patent data, thereby improving the efficiency of processing data.
According to a first aspect of embodiments of the present application, there is provided a patent data processing method, including: a) acquiring at least one piece of patent data of a target patent from an Nth-level data storage module corresponding to each Nth-1-level data storage module in a plurality of Nth-1-level data storage modules, performing weighted calculation on the at least one piece of patent data to obtain an Nth-1-level index value corresponding to the Nth-level data storage module, and storing the Nth-1-level index value in the Nth-1-level data storage module, wherein the patent data of each of a plurality of dimensions of the target patent is stored in the Nth-level data storage modules corresponding to the plurality of Nth-1-level data storage modules, wherein N is an integer; b) respectively acquiring a plurality of i-th level index values of the target patent from a plurality of i-th level data storage modules corresponding to each i-1-th level data storage module in a plurality of i-1-th level data storage modules, performing weighted calculation on the plurality of i-th level index values to obtain corresponding i-1-th level index values, and storing the i-1-th level index values in the i-1-th level data storage modules, wherein i is an integer greater than or equal to 2 and less than N; c) iteratively executing the step b) until a 1 st-level index value is obtained, wherein the 1 st-level index value corresponds to the patent data of one dimension of the target patent; d) and carrying out weighted calculation on a plurality of 1 st-level index values corresponding to the multi-dimensional patent data of the target patent to obtain a final scoring result of the target patent.
In one embodiment, the method further comprises: acquiring original patent data of a plurality of patents; and grouping the original patent data according to the labels with the multiple dimensions to obtain patent data with the multiple dimensions of the multiple patents, and storing the patent data with each dimension of the multiple dimensions of the multiple patents in the multiple Nth-level data storage modules.
In one embodiment, when there is new original patent data to be added, the method further comprises: and storing the new original patent data into a plurality of corresponding Nth-level data storage modules according to the labels with the plurality of dimensions.
In one embodiment, when there is expired patent data in the original patent data, the method further includes: and deleting the expired patent data from the corresponding multiple Nth-level data storage modules.
In one embodiment, the method further comprises: acquiring first target patent data of one of multiple dimensions of a first target patent selected by a user; and calculating the first target patent data according to a first preset rule to obtain a one-dimensional scoring result of the first target patent.
In one embodiment, the method further comprises: screening out second target patent data corresponding to another dimension of the multiple dimensions of the second target patent according to a second preset rule; and performing weighted calculation on the second target patent data to obtain a one-dimensional scoring result of the second target patent.
In one embodiment, the storing patent data for each of a plurality of dimensions of the plurality of patents in the plurality of nth level data storage modules comprises: removing first target patent data of the first target patent and second target patent data of the second target patent from patent data of each of a plurality of dimensions of the plurality of patents; storing, in the plurality of Nth-level data storage modules, patent data for each of a plurality of dimensions of a plurality of patents from which first target patent data of the first target patent and second target patent data of the second target patent are removed.
In one embodiment, the multi-dimensional patent data includes economic indicator data, legal indicator data, technical indicator data, strategic indicator data, and marketized indicator data.
In one embodiment, the legal indicator data includes right protection scope, right stability, region protection scope and time protection scope, the technical indicator data includes technology advancement degree, technology maturity degree, technology independence, technology substitutability, technology application breadth and technology application length, the strategic indicator data includes defense ability, offensive ability and influence, the marketized indicator data includes market current application situation and market future expectation situation, and the economic indicator data includes patent self-enforcement income, patent pledge, patent transfer region and patent permit.
According to a second aspect of the embodiments of the present application, there is provided an apparatus for patent data processing, including: a first processing module, configured to perform step a) to obtain at least one piece of patent data of a target patent from an nth-level data storage module corresponding to each nth-1-level data storage module of a plurality of nth-1-level data storage modules, perform weighting calculation on the at least one piece of patent data to obtain an nth-1-level index value corresponding to the nth-level data storage module, and store the nth-1-level index value in the nth-1-level data storage module, where patent data of each of a plurality of dimensions of the target patent is stored in the plurality of nth-level data storage modules corresponding to the plurality of nth-1-level data storage modules, where N is an integer; a second processing module, configured to execute step b) to respectively obtain a plurality of i-th level index values of the target patent from a plurality of i-th level data storage modules corresponding to each i-1-th level data storage module in the plurality of i-1-th level data storage modules, perform weighting calculation on the plurality of i-th level index values to obtain corresponding i-1-th level index values, and store the i-1-th level index values in the i-1-th level data storage modules, where i is an integer greater than or equal to 2 and less than N; an iteration execution module configured to execute step c) to iteratively execute the step b) until a 1 st-level index value is obtained, wherein the 1 st-level index value corresponds to patent data of one dimension of the target patent; the acquisition module is configured to perform step d) to perform weighted calculation on a plurality of level 1 index values corresponding to the multi-dimensional patent data of the target patent to obtain a final scoring result of the target patent.
In one embodiment, the apparatus further comprises: and the module is used for executing each step in the patent data processing method mentioned in the embodiment.
According to a third aspect of embodiments herein, there is provided a computing device comprising: a processor for executing the method for processing patent data according to any one of the above embodiments; and a memory for storing the processor-executable instructions.
According to a fourth aspect of the embodiments of the present application, there is provided a computer-readable storage medium storing a computer program for executing the method for processing patent data according to any one of the above embodiments.
According to the patent data processing method provided by the embodiment of the application, the patent data with different dimensions are stored in different data storage modules, and the index values corresponding to each dimension obtained after weighting calculation are stored in the data storage modules with different grades, so that the speed of inquiring and reading the patent data can be increased, and the data processing efficiency is improved.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
FIG. 1 is a schematic diagram of an implementation environment provided by an embodiment of the present application.
Fig. 2a to fig. 2e are schematic diagrams of a memory module according to an embodiment of the present application.
Fig. 3 is a flowchart illustrating a method for processing patent data according to an embodiment of the present application.
Fig. 4 is a block diagram illustrating a device for processing patent data according to an embodiment of the present invention.
Fig. 5 is a block diagram illustrating a computing device according to an embodiment of the 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Summary of the application
For patent evaluation, if manual processing of patent data is adopted, the processing efficiency is low and the subjectivity is strong; if software automatic processing is adopted, although quantifiable indexes can be realized, a lot of data highly related to the value of the patent itself exist in the patent data, and cannot be collected and added into calculation, so that the processing result is unreliable; if manual plus software automation processes are adopted, the subjective factors and the shortcomings of the software processes themselves, as described above, still remain. In addition, the existing software automation system has the following defects: (1) the data dimensionality and the index are less; (2) multi-dimensional one-step processing, which results in partial underestimation of high-value data; (3) the data processing results cannot be updated in real time.
Having described the general principles of the present application, various non-limiting embodiments of the present application will now be described with reference to the accompanying drawings.
Exemplary System
FIG. 1 is a schematic diagram of an implementation environment provided by an embodiment of the present application. The implementation environment includes a network module 110, a processor 120, and a plurality of storage modules 131, 132, …, 13 n.
In one embodiment, each storage module 13N includes N tiers of data storage modules, with different tiers of data storage modules for storing different data. For example, the Nth-level data storage module is used for storing patent data, and the Nth-1 to 1-level data storage modules are used for storing index values of different levels obtained after weighting calculation. The embodiment of the present application does not specifically limit the specific number of each hierarchical data storage module in the data storage modules of the N hierarchies, and also does not specifically limit the specific number of the data storage modules of the N hierarchies.
In one embodiment, the network module 110 may obtain a large amount of original patent data of a plurality of patents from the cloud server, and the network module 110 sends the large amount of original patent data of the plurality of patents to the processor 120. After acquiring a large amount of original patent data of multiple patents, the processor 120 groups the original patent data of the multiple patents according to the labels of the multiple dimensions, so as to divide the original patent data of the multiple patents into different dimensions. For example, a large amount of original patent data of a plurality of patents is divided into five-dimensional patent data, which are respectively economic index data, legal index data, technical index data, strategic index data and marketization index data. The legal index data comprises a right protection range, a right stability, a regional protection range and a time protection range, the technical index data comprises a technical advanced degree, a technical maturity degree, a technical independence, a technical replaceability, a technical application range and a technical application length, the strategic index data comprises a defense capacity, an offensive capacity and an influence, the marketized index data comprises a market current application situation and a market future expected situation, and the economic index data comprises patent self-implementation income, a patent pledge, a patent transfer region and a patent permit.
In one embodiment, the number of the plurality of storage modules may be 5, and each storage module includes 3 levels of data storage modules, i.e., a level 1 data storage module, a level 2 data storage module, and a level 3 data storage module. The number of the 3 rd level data storage modules of each storage module is the same as that of the 2 nd level data storage modules.
The first storage module comprises four 2 nd-level data storage modules, wherein the 1 st-level data storage modules in the first storage module correspond to first-level legal indexes, and the four 2 nd-level data storage modules respectively correspond to second-level indexes of a right protection range, second-level indexes of right stability, second-level indexes of a region protection range and second-level indexes of a time protection range.
The 1 st level data storage module in the second storage module corresponds to the first-level index of the technology, and the second storage module comprises five 2 nd level data storage modules which respectively correspond to the second-level index of the advanced degree of the technology, the second-level index of the mature degree of the technology, the second-level index of the substitutable degree of the technology, the second-level index of the application range of the technology and the second-level index of the application length of the technology.
The 1 st level data storage module in the third storage module corresponds to the marketized first level index, and the third storage module comprises two 2 nd level data storage modules which respectively correspond to the second level index of the current application condition of the market and the second level index of the future expected condition of the market.
The 1 st level data storage module in the fourth storage module corresponds to the strategic first-level index, and the fourth storage module comprises three 2 nd level data storage modules which respectively correspond to the second-level index of defense capacity, the second-level index of attack capacity and the second-level index of influence capacity.
The 1 st level data storage module in the fifth storage module corresponds to an economic first-level index, and the second storage module comprises four 2 nd level data storage modules which respectively correspond to a second-level index of a patent pledge, a second-level index of a patent transfer area and a second-level index of patent permission.
The processor 120 stores the patent data of different dimensions of a plurality of patents into the 3 rd level data storage module of the above 5 storage modules, respectively. At least one piece of patent data of the target patent is respectively read from a 3 rd level data storage module of the 5 storage modules, and weighted calculation is respectively carried out on the patent data to obtain a plurality of 2 nd level index values of the 5 storage modules. And storing the plurality of 2 nd-level index values into a plurality of 2 nd-level data storage modules of the 5 storage modules, reading a plurality of 2 nd-level index values from the plurality of 2 nd-level data storage modules of the 5 storage modules respectively, and performing weighted calculation on the plurality of 2 nd-level index values to obtain the 1 st-level index values of the 5 storage modules. And respectively storing the 1 st level index values of the 5 storage modules into the 1 st level data storage modules of the 5 storage modules, respectively reading the 1 st level index values from the 1 st level data storage modules of the 5 storage modules, and performing weighted calculation on the 1 st level index values to obtain a final scoring result of the target patent.
As shown in fig. 2a, the processor 120 stores legal index data in a level 3 data storage module 1313 in the first storage module 131, specifically, the level 3 data storage module 13131 is used to store patent data corresponding to a secondary index of a claim protection scope, that is, a number of protection layers of granted patent claims, a number of words of granted patent independent claims/an average number of words of independent claims in the present technical field, a number of technical features of granted patent claims, a number of technical features of granted patent independent claims/an average value of technical features of independent claims in the present technical field, and the level 3 data storage module 13132 is used to store patent data corresponding to a secondary index of a claim stability, that is, a number of confirmed patent and/or equivalent patent after invalidation, a number of reviewed and granted patent and/or equivalent patent after review, Number of dependent claims, number of pages of description, whether to hire an agent, a level 3 data storage module 13133 for storing patent data corresponding to the secondary indicator of time protection scope, i.e., survival time, a level 3 data storage module 13134 for storing patent data corresponding to the secondary indicator of territory protection scope, i.e., number of country of lay-out, number of PCT applications. However, the embodiment of the present application does not specifically limit the specific type of the patent data in each 3 rd level data storage module.
The processor 120 stores a plurality of 2 nd-level index values obtained by performing weighted calculation on at least one piece of patent data in each 3 rd-level data storage module in the 2 nd-level data storage module 1312 in the first storage module 131, specifically, the 2 nd-level data storage module 13121 is configured to store 2 nd-level index values corresponding to secondary indexes of an entitlement protection range, the 2 nd-level data storage module 13122 is configured to store 2 nd-level index values corresponding to secondary indexes of entitlement stability, the 2 nd-level data storage module 13123 is configured to store 2 nd-level index values corresponding to secondary indexes of a temporal protection range, and the 2 nd-level data storage module 13124 is configured to store 2 nd-level index values corresponding to secondary indexes of a geographic protection range.
The processor 120 stores the 1 st level index value corresponding to the legal first level index obtained by performing weighted calculation on the above-mentioned 2 nd level index value in the 1 st level data storage module 1311.
As shown in fig. 2b, the processor 120 stores technical index data in a level 3 data storage module 1323 in the second storage module 132, and particularly, the level 3 data storage module 13231 is used to store patent data corresponding to a secondary index of technical advancement, i.e., a patent type, a number of cited non-patent documents, a scientific association degree index, a country of cited patent documents, a technical cycle period, an absolute number of cited documents, a relative number of cited documents, a number of reviewers cited, a rate of his citations, a number of applicants, a number of inventors, a patent family authorization rate, a patent family depth, a backward scientific association, an external patent growth index, a technical return index, a technical activity, a relative index of technical extension influence, a relative index of technical extension basis, a level 3 data storage module 13232 is used to store patent data corresponding to the secondary index of technical maturity, namely, the number of cited patent documents, the number of self-cited patents, and the technology cumulative basic relative index, the level 3 data storage module 13233 is used to store patent data corresponding to the secondary index of technology substitutability, namely, the number of collateral cited patents, the level 3 data storage module 13234 is used to store patent data corresponding to the secondary index of technology application breadth, namely, the number of classification numbers, universality, distribution span of classification numbers, technical influence and technical strength of patentees, and diffusion index, and the level 3 data storage module 13235 is used to store patent data corresponding to the secondary index of technology application length, namely, the maximum time span, current influence in the forward cited document combination. However, the embodiment of the present application does not specifically limit the specific type of the patent data in each 3 rd level data storage module.
The processor 120 stores a plurality of 2 nd-level index values obtained by performing weighted calculation on at least one piece of patent data in each 3 rd-level data storage module in the 2 nd-level data storage module 1322 in the second storage module 132, specifically, the 2 nd-level data storage module 13221 is configured to store a 2 nd-level index value corresponding to a second index of a technology advancement degree, the 2 nd-level data storage module 13222 is configured to store a 2 nd-level index value corresponding to a second index of a technology maturity degree, the 2 nd-level data storage module 13223 is configured to store a 2 nd-level index value corresponding to a second index of a technology substitutability degree, the 2 nd-level data storage module 13224 is configured to store a 2 nd-level index value corresponding to a second index of a technology application breadth degree, and the 2 nd-level data storage module 13225 is configured to store a 2 nd-level index value corresponding to a second index of a technology application length.
The processor 120 stores the 1 st level index value corresponding to the technical level index obtained by performing the weighted calculation on the above-mentioned 2 nd level index value in the 1 st level data storage module 1321.
As shown in fig. 2c, the processor 120 stores the marketable index data in the level 3 data storage module 1333 in the third storage module 133, specifically, the level 3 data storage module 13331 is used to store the patent data corresponding to the second level index of the current application situation of the market, i.e., the market size and the market share, and the level 3 data storage module 13332 is used to store the patent data corresponding to the second level index of the future expected situation of the market, i.e., the number of country of layout and the three-party patent (europe and america). However, the embodiment of the present application does not specifically limit the specific type of the patent data in each 3 rd level data storage module.
The processor 120 stores a plurality of 2 nd-level index values obtained by performing weighted calculation on at least one piece of patent data in each 3 rd-level data storage module in the 2 nd-level data storage module 1332 in the third storage module 133, specifically, the 2 nd-level data storage module 13321 is configured to store 2 nd-level index values corresponding to second-level indexes of current market application situations, and the 2 nd-level data storage module 13322 is configured to store 2 nd-level index values corresponding to second-level indexes of future market expectation situations.
The processor 120 stores the 1 st level index value corresponding to the marketized one-level index obtained by performing weighted calculation on the 2 nd level index value in the 1 st level data storage module 1331.
As shown in fig. 2d, the processor 120 stores strategic index data in a level 3 data storage module 1343 in the fourth storage module 134, specifically, the level 3 data storage module 13431 is used to store patent data corresponding to the secondary index of defense ability, that is, the number of independent patent claims granted, the right to confirm after the patent and/or the patent family is invalid, the total number of patents owned by the patentee of the target patent in the field, the patent application rate of the patentee of the target patent in the field, the level 3 data storage module 13432 is used to store patent data corresponding to the secondary index of offensive ability, that is, whether the target patent belongs to a certain patent combination, the permission frequency of the target patent, the ratio of the patent amount to the total number of patents obtained by the target patent holder through acquisition/assignment/permission, and the number of country of layout, the 3 rd stage data storage module 13433 is used to store patent data corresponding to the secondary indicators of influence, i.e. the time span and the number of countries of layout where the target patent is first and last cited. However, the embodiment of the present application does not specifically limit the specific type of the patent data in each 3 rd level data storage module.
The processor 120 stores a plurality of 2 nd-level index values obtained by performing weighted calculation on at least one piece of patent data in each 3 rd-level data storage module in a 2 nd-level data storage module 1342 in the fourth storage module 134, specifically, the 2 nd-level data storage module 13421 is configured to store 2 nd-level index values corresponding to the second-level indexes of defense ability, the 2 nd-level data storage module 13422 is configured to store 2 nd-level index values corresponding to the second-level indexes of attack ability, and the 2 nd-level data storage module 13423 is configured to store 2 nd-level index values corresponding to the second-level indexes of influence.
The processor 120 stores the 1 st-level index value corresponding to the strategic-level index value obtained by performing weighted calculation on the above-mentioned 2 nd-level index value in the 1 st-level data storage module 1341.
As shown in fig. 2e, the processor 120 stores the economic indicator data in a 3 rd level data storage module 1353 in the fifth storage module 135, specifically, the 3 rd level data storage module 13531 is configured to store patent data corresponding to a secondary indicator of a patent pledge, that is, whether a pledge occurs in a target patent, yes to "1" and no to "0", the 3 rd level data storage module 13532 is configured to store patent data corresponding to a secondary indicator of a patent assignment, that is, whether a transfer occurs in a target patent, yes to "1" and no to "0", the 3 rd level data storage module 13533 is configured to store patent data corresponding to a secondary indicator of a patent assignment region, that is, patent assigned at a location in units of countries, the 3 rd level data storage module 13534 is configured to store patent data corresponding to a secondary indicator of a patent license, that is, whether a license occurs in a target patent, "yes" is "1" and "no" is "0". However, the embodiment of the present application does not specifically limit the specific type of the patent data in each 3 rd level data storage module.
The processor 120 stores a plurality of 2 nd-level index values obtained by performing weighted calculation on at least one piece of patent data in each 3 rd-level data storage module in the fifth storage module 135 in the 2 nd-level data storage module 1352, specifically, the 2 nd-level data storage module 13521 is configured to store a 2 nd-level index value corresponding to a secondary index of a patent pledge, the 2 nd-level data storage module 13522 is configured to store a 2 nd-level index value corresponding to a secondary index of a patent assignment, the 2 nd-level data storage module 13523 is configured to store a 2 nd-level index value corresponding to a secondary index of a patent assignment region, and the 2 nd-level data storage module 13524 is configured to store a 2 nd-level index value corresponding to a secondary index of a patent permit.
The processor 120 stores the 1 st level index value corresponding to the economic first-level index obtained by performing weighted calculation on the above-mentioned 2 nd level index value in the 1 st level data storage module 1351.
Like this, handle the patent data of patent from five dimensions of economy, law, technique, strategy, market index, the index of gathering is many, and the patent data that corresponds with different second grade indexes in the different storage module independently stores respectively to when handling patent data, be convenient for transfer corresponding patent data from storage module, and then make patent data processing more orderly and high-efficient.
Exemplary method
Fig. 3 is a flowchart illustrating a method for processing patent data according to an embodiment of the present application. The method illustrated in fig. 3 is executed by a processor, but the embodiment of the present application is not limited thereto. As shown in fig. 3, the method may include the following.
S310: at least one piece of patent data of a target patent is acquired from an Nth-level data storage module corresponding to each Nth-1-level data storage module in a plurality of Nth-1-level data storage modules, weighting calculation is carried out on the at least one piece of patent data to obtain an Nth-1-level index value corresponding to the Nth-level data storage module, and the Nth-1-level index value is stored in the Nth-1-level data storage module, wherein the patent data of each of a plurality of dimensions of the target patent is stored in the Nth-level data storage modules corresponding to the N-1-level data storage modules, and N is an integer.
It should be understood that the patent data of one dimension corresponds to one storage module as described above, that is, the patent data of one dimension is stored in a plurality of nth-level data storage modules of one storage module. One storage module comprises a plurality of N-1 level data storage modules and a plurality of N level data storage modules corresponding to the N level data storage modules.
However, the embodiment of the present application does not specifically limit the specific number of the multiple dimensions, nor the specific number of the storage modules, nor the specific numbers of the N-1 th-level data storage module and the N-th-level data storage module in one storage module.
In one embodiment, the patent data stored in the plurality of nth data storage modules is actually normalized to be qualitative, for example, the number of protection layers of the issued patent claims in the legal index data is 90, the number of verification rights of the patent and/or the patent family after invalidation is 80, the survival time is 70, and the number of PCT applications is 85. However, the specific value of the qualitative value of each patent data obtained by normalization is not specifically limited in the embodiment of the present application, and a person skilled in the art may obtain different values according to specific application requirements.
Taking the storage module shown in fig. 2a to 2e as an example, when at least one piece of acquired patent data of a target patent is the number of protection layers of an authorized patent claim corresponding to a secondary index of an right protection range (a value after normalization is 90), the number of words of an authorized patent independent claim (a value after normalization is 70), and the number of technical features of an authorized independent claim (a value after normalization is 80), a certain weight is given to each piece of patent data, but a specific value of the weight of each piece of patent data is not specifically limited in the embodiment of the present application, and a person skilled in the art can obtain different weights according to specific application requirements. For example, if the weight of the number of protection levels of the granted patent claims is 0.3, the weight of the number of words of the granted independent claims is 0.5, and the weight of the number of technical features of the granted independent claims is 0.2, then the process of the weight calculation is 90 × 0.3+70 × 0.5+80 × 0.2 ═ 78, so that the 2 nd level index value corresponding to the secondary index of the right protection range in the storage module is 78, and so on, the 2 nd level index value corresponding to the secondary index of the right stability in the storage module is 75, the 2 nd level index value corresponding to the secondary index of the time protection range is 70, and the 2 nd level index value corresponding to the secondary index of the regional protection range is 80. However, the embodiment of the present application does not specifically limit the specific implementation process of the weighting calculation, and those skilled in the art may obtain different weighting calculations according to specific application requirements.
S320: respectively acquiring a plurality of i-th level index values of the target patent from a plurality of i-th level data storage modules corresponding to each i-1-th level data storage module in a plurality of i-1-th level data storage modules, performing weighting calculation on the i-th level index values to obtain corresponding i-1-th level index values, and storing the i-1-th level index values in the i-1-th level data storage modules, wherein i is an integer greater than or equal to 2 and less than N.
A memory module also includes a plurality of i-1 th level data storage modules, wherein i is an integer less than N, that is, a memory module also includes a plurality of N-2 th level data storage modules, a plurality of N-3 th level data storage modules, an N-4 th level data storage module, and so on. The embodiment of the present application does not specifically limit how many levels of data storage modules are included in one storage module, for example, as shown in fig. 2a, the first storage module includes three levels of data storage modules, that is, a level 1 data storage module, a level 2 data storage module, and a level 3 data storage module.
S330: iteratively executing the step S320 until a level 1 index value is obtained, wherein the level 1 index value corresponds to the patent data of one dimension of the target patent.
In one embodiment, a storage module may obtain a level 1 indicator value by iteratively performing step S320.
Similarly, taking the storage module shown in fig. 2a to 2e as an example, when the plurality of 2 nd-level index values obtained by the weighting calculation in step S310 are 78, 75, 70, and 80, respectively, a certain weight is given to each of the 2 nd-level index values, and then the weighting calculation is performed on the 2 nd-level indexes by using the weight, the process of the weighting calculation is 78 × 0.2+75 × 0.5+70 + 0.2+80 + 0.1 — 75.1, and therefore, the 1 st-level index value corresponding to the legal first-level index in the storage module is 75.1.
S340: and carrying out weighted calculation on a plurality of 1 st-level index values corresponding to the multi-dimensional patent data of the target patent to obtain a final scoring result of the target patent.
The storage modules corresponding to the patent data of multiple dimensions are executed to the above steps S310 to S330, and each storage module can obtain a level 1 index value, for example, a level 1 index value V (PL) corresponding to a legal level indexi) Level 1 index value V (PT) corresponding to the technical level indexi) Level 1 index value V (PS) corresponding to the strategic level indexi) Level 1 index value V (PM) corresponding to the marketized level one indexi) Level 1 index value V (PE) corresponding to economic level indexi)。
Similarly, the memory modules shown in FIGS. 2a to 2e areExample, when V (PL)i) Equal to 75.1, V (PT)i) Equal to 78, V (PS)i) Equal to 86.5, V (PM)i) Equal to 92.3, V (PE)i) Equal to 95.2, then the weighting calculation proceeds as follows:
final scoring result V (P) of target patenti)＝a*V(PLi)(y1*V(PMi)+y2*V(PSi)+y3*V(PTi)+y4*V(PEi))。
The value a is a score coefficient, and the embodiment of the present application does not specifically limit the specific value of a, and those skilled in the art can obtain different values of a according to specific application requirements. y1 to y4 are weight values given to the 1 st-order index values other than the 1 st-order index value corresponding to the legal one-order index, and y1+ y2+ y3+ y4 is 1. However, the embodiment of the present application is not limited to the specific implementation of the weighting calculation, and those skilled in the art may perform different weighting calculations according to the specific application requirements.
Therefore, when y1 equals 0.3, y2 equals 0.1, y3 equals 0.4, y4 equals 0.2, and a equals 0.9%, the final score of the target patent obtained is 0.009 × 75.1 [92.3 × 0.3+86.5 × 0.1+78 × 0.4+95.2 ] ═ 58.52.
Therefore, the patent data of the target patent are processed in five dimensions of economy, law, technology, strategy and market indexes, and the obtained final scoring result is a multi-dimension scoring result. Meanwhile, the collected indexes are multiple, and the patent data corresponding to different secondary indexes in different storage modules are respectively and independently stored, so that when the patent data are processed, the corresponding patent data can be conveniently called from the storage modules, and the patent data are processed more orderly and efficiently.
In another embodiment of the present application, the method further comprises: acquiring original patent data of a plurality of patents; and grouping the original patent data according to the labels with the multiple dimensions to obtain patent data with the multiple dimensions of the multiple patents, and storing the patent data with each dimension of the multiple dimensions of the multiple patents in the multiple Nth-level data storage modules.
The original patent data of the multiple patents can be acquired from the cloud server by a web crawler method, but how to acquire the original patent data is not specifically limited in the embodiment of the application, and a person skilled in the art can determine a manner of acquiring the original patent data according to a specific application requirement.
The embodiment of the present application does not specifically limit the types of tags, for example, the tags may be classified into legal tags, technical tags, marketable tags, strategic tags and economic tags according to the dimension division, but the embodiment of the present application also does not specifically limit the number of the tags, and tags of other dimensions may be included in addition to the above-mentioned five-dimensional tags.
After the original patent data of multiple patents are acquired, the original patent data can be temporarily stored in a database, and then the original patent data are grouped according to the labels with different dimensions, so that the original patent data are classified, and the patent data with multiple dimensions of the multiple patents are obtained. For example, the original patent data corresponding to the economic index is added to the storage module corresponding to the economic index, the original patent data corresponding to the technical index is added to the storage module corresponding to the technical index, and so on, and the storage of the patent data of multiple dimensions is completed.
In another embodiment of the present application, when there is new original patent data to be added, the method further comprises: and storing the new original patent data into a plurality of corresponding Nth-level data storage modules according to the labels with the plurality of dimensions.
Because the original patent data of each patent is continuously updated in real time, new updated original patent data can continuously appear on the basis of the original patent data of each patent, for example, the original patent data is the residual effective period of the patent, and the residual effective period of the patent is continuously changed along with the continuous passing of time.
Through the labels with different dimensions mentioned in the above embodiments, the new original patent data are grouped to be stored in the corresponding multiple nth-level data storage modules. For example, the new original patent data corresponds to the economic indicator, and then the new original patent data is stored in the plurality of nth-level data storage modules of the storage module corresponding to the economic indicator.
In another embodiment of the present application, when expired patent data exists in the original patent data, the method further includes: and deleting the expired patent data from the corresponding multiple Nth-level data storage modules.
Since the original patent data of each patent is continuously updated in real time, the updated expired patent data is continuously available on the basis of the original patent data of each patent, for example, the patent data is the remaining valid period of the patent, and the remaining valid period of the patent becomes 0 as time goes by, which means that the patent is a patent with invalid patent rights, and the expired patent data can be deleted from the plurality of nth-level data storage modules of the corresponding storage module.
In conclusion, by adding new original patent data and deleting expired patent data in the corresponding data group, the patent data can be dynamically updated in real time, so that the patent data can be more comprehensively, objectively and conveniently processed, and the obtained scoring result has higher reliability. And because the patent data can be updated in real time, the technical scheme is easier to popularize, and the problem that the scoring result of the patent is unreliable is solved.
In another embodiment of the present application, the method further comprises: acquiring first target patent data of one of multiple dimensions of a first target patent selected by a user; and calculating the first target patent data according to a first preset rule to obtain a one-dimensional scoring result of the first target patent.
In an embodiment, a user can mark a first target patent, namely an industrialized patent, according to actual conditions in a data processing system and fill in actual economic benefits of the first target patent, the data processing system receives operation instructions of the user (namely marking operation and filling operation of the user), sends the operation instructions to a processor, and the processor extracts first target patent data of one of multiple dimensions of the first target patent from an Nth-stage data storage module of a storage module and establishes a subset one for temporarily storing the first target patent data for the first target patent.
The processor may calculate the first target patent data in the subset one according to a first preset rule, that is, the actual economic benefit, the industry type, the economic value, and the relationship between the economic value and the patent value of the first target patent input by the user, and may obtain a one-dimensional scoring result of the first target patent corresponding to one of the multiple dimensions.
However, the embodiment of the present application does not specifically limit the specific type of the first preset rule, and different first preset rules may be selected according to specific application requirements. The embodiment of the present application does not specifically limit the specific implementation of the calculation process, and those skilled in the art may perform different calculations according to specific application requirements.
In another embodiment of the present application, the method further comprises: screening out second target patent data corresponding to another dimension of the multiple dimensions of the second target patent according to a second preset rule; and performing weighted calculation on the second target patent data to obtain a one-dimensional scoring result of the second target patent.
In an embodiment, the second preset rule may refer to screening out invalid, abandoned, review maintenance rejected, invalid foreign family, and small scope of exclusive protection, so as to screen out the second target patent data of the second target patent corresponding to another of the plurality of dimensions, for example, when the dimension corresponding to the first target patent data of the above embodiment is an economic dimension, the dimension corresponding to the second target patent data in the embodiment is a dimension other than the economic dimension.
The second target patent is screened from the patents except the first target patent, or the second target patent can be directly screened from a plurality of patents in the storage module, so that the second target patent data except the first target patent data in the first subset can be extracted from the Nth-level data storage module of the storage module, or the second target patent data can be directly extracted from a plurality of patent data in the Nth-level data storage module of the storage module, and a second subset for temporarily storing the second target patent data is established for the second target patent. The second target patent data in the second subset is calculated to obtain a one-dimensional score result of the second target patent corresponding to another one of the plurality of dimensions, for example, when the one-dimensional score result of the first target patent in the above embodiment is a one-dimensional score result corresponding to an economic indicator, the one-dimensional score result of the second target patent in the present embodiment is a one-dimensional score result corresponding to an indicator other than the economic indicator.
In another embodiment, the second preset rule may refer to screening, according to a preset threshold corresponding to a technical index, a strategic index or a marketization index, a second target patent whose target patent data is greater than the preset threshold from patents other than the first target patent, or may directly screen a second target patent whose target patent data is greater than the preset threshold from the storage module, so that the second target patent data of the second target patent other than the first target patent data in the first subset may be extracted from the nth-stage data storage module of the storage module, or may directly extract the second target patent data of the second target patent from the nth-stage data storage module of the storage module.
However, the embodiment of the present application does not specifically limit which target patent data is greater than the preset threshold, and the second target patent meeting the requirement is extracted, and different target patent data may be selected according to specific application requirements, for example, the target patent data may be the number of technical features of the independent authorization claim, and the preset threshold may be 50 words, so that when the number of technical features of the independent authorization claim of the patent is greater than 50 words, the second target patent meeting the requirement may be extracted. The second objective patent may also be understood as a patent that stands out economically, technically, strategically, or marketably.
However, the embodiment of the present application does not specifically limit the specific type of the second preset rule, and different first preset rules may be selected according to specific application requirements. The embodiment of the present application does not specifically limit the specific implementation of the weighting calculation process, and those skilled in the art may perform different weighting calculations according to specific application requirements, for example, the weighting calculation may be the weighting calculation described in the embodiment shown in fig. 3.
Therefore, by extracting the first target patent data of the first target patent and the second target patent data of the second target patent, a one-dimensional scoring result of the first target patent and a scoring result of the other dimension of the second target patent can be obtained, so that a single-dimensional scoring result of the patent is obtained.
In another embodiment of the present application, the storing patent data for each of a plurality of dimensions of the plurality of patents in the plurality of nth level data storage modules includes: removing first target patent data of the first target patent and second target patent data of the second target patent from patent data of each of a plurality of dimensions of the plurality of patents; storing, in the plurality of Nth-level data storage modules, patent data for each of a plurality of dimensions of a plurality of patents from which first target patent data of the first target patent and second target patent data of the second target patent are removed.
In order to improve data processing efficiency, the first target patent data of the first target patent and the second target patent data of the second target patent may be removed from the patent data of each of the multiple dimensions of the multiple patents, and then the patent data of each of the multiple dimensions of the multiple patents from which the first target patent data of the first target patent and/or the second target patent data of the second target patent are removed may be stored in the multiple nth-stage data storage modules. Therefore, only the patent data to be processed can be stored in the plurality of Nth-level data storage modules in the storage module, and the processed patent data (namely, the first target patent data and the second target patent data) do not need to be stored, so that when the patent data to be processed is processed, the corresponding patent data to be processed can be conveniently called from the storage module, and the patent data processing becomes more orderly and efficient.
Exemplary devices
The embodiment of the device can be used for executing the embodiment of the method. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Fig. 4 is a block diagram illustrating a device for processing patent data according to an embodiment of the present application. As shown in fig. 4, the apparatus 400 includes:
a first processing module 410, configured to perform step a) to obtain at least one piece of patent data of a target patent from an nth-level data storage module corresponding to each nth-1-level data storage module of a plurality of nth-1-level data storage modules, perform weighting calculation on the at least one piece of patent data to obtain an nth-1-level index value corresponding to the nth-level data storage module, and store the nth-1-level index value in the nth-1-level data storage module, where patent data of each of a plurality of dimensions of the target patent is stored in the plurality of nth-level data storage modules corresponding to the plurality of nth-1-level data storage modules, where N is an integer;
a second processing module 420 configured to execute step b) to obtain a plurality of i-th level index values of the target patent from a plurality of i-th level data storage modules corresponding to each i-1-th level data storage module in the plurality of i-1-th level data storage modules, perform weighting calculation on the plurality of i-th level index values to obtain corresponding i-1-th level index values, and store the i-1-th level index values in the i-1-th level data storage modules, where i is an integer greater than or equal to 2 and less than N;
an iteration executing module 430 configured to execute step c) to iteratively execute the step b) until a level 1 index value is obtained, wherein the level 1 index value corresponds to patent data of one dimension of the target patent;
the obtaining module 440 is configured to perform step d) to perform weighted calculation on a plurality of level 1 index values corresponding to the multi-dimensional patent data of the target patent, so as to obtain a final scoring result of the target patent.
In one embodiment, the apparatus 400 further comprises: and the module is used for executing each step in the patent data processing method mentioned in the embodiment.
Exemplary computing device
In the following, a computing device according to an embodiment of the application is described with reference to fig. 5.
As shown in fig. 5, computing device 500 includes one or more processors 510 and memory 520.
Processor 510 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in computing device 500 to perform desired functions.
Memory 520 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by processor 510 to implement the methods of patent data processing of the various embodiments of the present application described above and/or other desired functions. Various contents such as an input signal, a signal component, a noise component, etc. may also be stored in the computer-readable storage medium.
In one embodiment, the memory 520 includes multiple tiers of data storage modules for each of the multiple storage modules mentioned in the above embodiments.
In one example, computing device 500 may also include: an input device 530 and an output device 540, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
The input device 530 may be, for example, a microphone or a microphone array as described above for capturing an input signal of a sound source. Where the computing device is a stand-alone device, the input means 530 may be a communication network connector.
The input device 530 may also include, for example, a keyboard, a mouse, and the like.
The output device 540 may output various information including the determined symptom category information to the outside. The output devices 540 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the computing device 500 relevant to the present application are shown in FIG. 5, omitting components such as buses, input/output interfaces, and so forth. In addition, computing device 500 may include any other suitable components depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method of patent data processing according to various embodiments of the present application described in the "exemplary methods" section of this specification above.
The computer program product may be written with program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform steps in a method of patent data processing according to various embodiments of the present application described in the "exemplary methods" section above in this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present application in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present application are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, the description is not intended to limit embodiments of the application to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (11)
1. A method for processing patent data, comprising:
a) acquiring at least one piece of patent data of a target patent from an Nth-level data storage module corresponding to each Nth-1-level data storage module in a plurality of Nth-1-level data storage modules, performing weighted calculation on the at least one piece of patent data to obtain an Nth-1-level index value corresponding to the Nth-level data storage module, and storing the Nth-1-level index value in the Nth-1-level data storage module, wherein the patent data of each of a plurality of dimensions of the target patent is stored in the Nth-level data storage modules corresponding to the plurality of Nth-1-level data storage modules, wherein N is an integer;
b) respectively acquiring a plurality of i-th level index values of the target patent from a plurality of i-th level data storage modules corresponding to each i-1-th level data storage module in a plurality of i-1-th level data storage modules, performing weighted calculation on the plurality of i-th level index values to obtain corresponding i-1-th level index values, and storing the i-1-th level index values in the i-1-th level data storage modules, wherein i is an integer greater than or equal to 2 and less than N;
c) iteratively executing the step b) until a 1 st-level index value is obtained, wherein the 1 st-level index value corresponds to the patent data of one dimension of the target patent;
d) and carrying out weighted operation on a plurality of 1 st-level index values corresponding to the multi-dimensional patent data of the target patent to obtain a final scoring result of the target patent.
2. The method of claim 1, further comprising:
acquiring original patent data of a plurality of patents;
and grouping the original patent data according to the labels with the multiple dimensions to obtain patent data with the multiple dimensions of the multiple patents, and storing the patent data with each dimension of the multiple dimensions of the multiple patents in the multiple Nth-level data storage modules.
3. The method of claim 2, wherein when there is new original patent data to be added, the method further comprises:
and storing the new original patent data into a plurality of corresponding Nth-level data storage modules according to the labels with the plurality of dimensions.
4. The method according to claim 2, wherein when there is expired patent data in the original patent data, the method further comprises:
and deleting the expired patent data from the corresponding multiple Nth-level data storage modules.
5. The method of claim 2, further comprising:
acquiring first target patent data of one of multiple dimensions of a first target patent selected by a user;
and calculating the first target patent data according to a first preset rule to obtain a one-dimensional scoring result of the first target patent.
6. The method of claim 5, further comprising:
screening out second target patent data corresponding to another dimension of the multiple dimensions of the second target patent according to a second preset rule;
and performing weighted calculation on the second target patent data to obtain a one-dimensional scoring result of the second target patent.
7. The method of claim 6, wherein storing patent data for each of a plurality of dimensions of the plurality of patents in the plurality of Nth level data storage modules comprises:
removing first target patent data of the first target patent and second target patent data of the second target patent from patent data of each of a plurality of dimensions of the plurality of patents;
storing, in the plurality of Nth-level data storage modules, patent data for each of a plurality of dimensions of a plurality of patents from which first target patent data of the first target patent and second target patent data of the second target patent are removed.
8. The method of any one of claims 1 to 7, wherein the patent data of the plurality of dimensions comprises economic indicator data, legal indicator data, technical indicator data, strategic indicator data, and marketized indicator data, wherein the legal indicator data comprises a right protection scope, a right stability, a region protection scope and a time protection scope, the technical index data comprises technical advancement degree, technical maturity, technical independence, technical replaceability, technical application range and technical application length, the strategic indicator data comprises defense ability, offensive ability and influence, the marketized indicator data comprises market current application situation and market future expectation situation, the economic indicator data comprises patent self-enforcement income, patent pledge, patent transfer region and patent permission.
9. An apparatus for patent data processing, comprising:
a first processing module, configured to perform step a) to obtain at least one piece of patent data of a target patent from an nth-level data storage module corresponding to each nth-1-level data storage module of a plurality of nth-1-level data storage modules, perform weighting calculation on the at least one piece of patent data to obtain an nth-1-level index value corresponding to the nth-level data storage module, and store the nth-1-level index value in the nth-1-level data storage module, where patent data of each of a plurality of dimensions of the target patent is stored in the plurality of nth-level data storage modules corresponding to the plurality of nth-1-level data storage modules, where N is an integer;
a second processing module, configured to execute step b) to respectively obtain a plurality of i-th level index values of the target patent from a plurality of i-th level data storage modules corresponding to each i-1-th level data storage module in the plurality of i-1-th level data storage modules, perform weighting calculation on the plurality of i-th level index values to obtain corresponding i-1-th level index values, and store the i-1-th level index values in the i-1-th level data storage modules, where i is an integer greater than or equal to 2 and less than N;
an iteration execution module configured to execute step c) to iteratively execute the step b) until a 1 st-level index value is obtained, wherein the 1 st-level index value corresponds to patent data of one dimension of the target patent;
the acquisition module is configured to perform step d) to perform weighted operation on a plurality of level 1 index values corresponding to the multi-dimensional patent data of the target patent to obtain a final scoring result of the target patent.
10. A computing device, comprising:
a processor for performing the method of processing patent data according to any one of claims 1 to 8;
a memory for storing the processor-executable instructions.
11. A computer-readable storage medium storing a computer program for executing the method of patent data processing according to any one of claims 1 to 8.
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