Automatic performance assessment method and system based on public intellectual property information crawling

Abstract

The invention discloses an automatic performance assessment method and system based on public intellectual property information crawling. The invention discloses an automatic performance appraisal method based on public intellectual property information crawling. The automatic performance appraisal method comprises the following steps: step 1, initializing a crawler subsystem and an information processing subsystem; and 2, automatically crawling the public intellectual property information of the unit by the crawler subsystem according to the crawler parameters, and outputting the crawled public intellectual property information of the unit to an information processing subsystem. The automatic performance assessment method and system based on public intellectual property information crawling have the beneficial effects that the public intellectual property information such as patents, software copyrights and papers of the unit is automatically crawled, on one hand, the public intellectual property information can be stored in an intellectual property library to serve as knowledge reserve of the unit, and on the other hand, the intellectual property information can be automatically crawled; and on the other hand, automatic scoring can be performed on scientific research teams and scientific research personnel in combination with KPI performance assessment rules.

Description

Technical Field

[0001] The present invention belongs to the field of automatic performance appraisal, and specifically relates to an automatic performance appraisal method and system based on crawling of public intellectual property information. Background Art

[0002] The acquisition of intellectual property rights such as patents and software copyrights and the publication of papers are important bases for KPI performance evaluation of R&D teams and R&D personnel in colleges, universities, scientific research institutes and even enterprises. The method of manual reporting by R&D personnel and manual calculation by human resources specialists is not only time-consuming and labor-intensive but also prone to errors.

[0003] The invention patent application with publication number CN114240258A and subject name “Digital KPI performance appraisal method and system” has an IPC classification number of G06Q10 / 06. Its technical solution discloses that “according to a preset performance appraisal cycle, the fixture storage space before and after the performance appraisal cycle is photographed and compared to generate a storage space reduction rate; product production within the performance appraisal cycle is tracked and recorded to obtain fixture failure information during the production process; comprehensive KPI appraisal digital analysis is performed based on the storage space reduction rate and the fixture failure information to generate a comprehensive KPI appraisal performance score for the fixture design department; the docking fixture type of each member of the fixture design department is obtained, and a digital analysis of the KPI appraisal of department members is performed based on multiple docking fixture types to generate a member KPI appraisal performance score for each member of the fixture design department”.

[0004] It can be seen that the above invention patent application has disclosed one of the technical solutions of the KPI performance appraisal method and system. However, the technical solution disclosed in the above invention patent application focuses on the assessment of the fixture design department and cannot be directly applied to the performance appraisal of scientific research teams and scientific researchers, and needs to be further improved. Summary of the invention

[0005] In view of the status of the prior art, the present invention overcomes the above-mentioned defects and provides an automatic performance evaluation method and system based on crawling of public intellectual property information.

[0006] The present invention adopts the following technical scheme, an automatic performance appraisal system based on public intellectual property information crawling, including a personnel management subsystem, a performance appraisal subsystem, an intellectual property management subsystem, a crawler subsystem and an information processing subsystem, the intellectual property management subsystem has a built-in intellectual property management subsystem database, the personnel management subsystem has a built-in personnel management subsystem database, and the performance appraisal subsystem has a built-in performance appraisal subsystem database, wherein:

[0007] The human resources management subsystem database stores team information and employee information;

[0008] The performance appraisal subsystem database stores team appraisal information and employee appraisal information;

[0009] The intellectual property management subsystem database stores intellectual property information;

[0010] The crawler subsystem crawls intellectual property information from the Internet and outputs the crawled intellectual property information to the information processing subsystem;

[0011] The information processing subsystem classifies the crawled intellectual property information according to preset classification parameters to generate different types of intellectual property information, and outputs the classified intellectual property information to the intellectual property management subsystem;

[0012] The information processing subsystem obtains team information and employee information from the human resources management subsystem database, and obtains classified intellectual property information from the intellectual property management subsystem database, generates team performance information and employee performance information according to a preset scoring method, and outputs the team performance information and employee performance information to the performance appraisal subsystem database.

[0013] As a preferred technical solution of the above technical solutions, the intellectual property information includes patent information, software copyright information and paper information.

[0014] The present invention adopts the following technical scheme, an automatic performance evaluation method based on public intellectual property information crawling, which is applied to any of the above automatic performance evaluation systems based on public intellectual property information crawling. The automatic performance evaluation method based on public intellectual property information crawling includes the following steps:

[0015] Step 1: Initialize the crawler subsystem and information processing subsystem;

[0016] Step 2: The crawler subsystem automatically crawls the public intellectual property information of the unit according to the crawler parameters, and outputs the crawled public intellectual property information of the unit to the information processing subsystem;

[0017] Step 3: The information processing subsystem verifies the validity of the intellectual property information. If the intellectual property information does not belong to the unit, it is directly discarded. Otherwise, the uniqueness of the intellectual property information is verified. If the intellectual property information already exists, it is directly discarded. Otherwise, step 4 is executed.

[0018] Step 4: The information processing subsystem outputs the verified intellectual property information to the intellectual property management subsystem;

[0019] Step 5: The information processing subsystem calculates performance information according to information categories;

[0020] Step 6: The information processing subsystem outputs performance information to the performance appraisal subsystem.

[0021] As a preferred technical solution of the above technical solution, step 1 is specifically implemented as follows:

[0022] Step 1.1: Set the crawler parameters of the crawler subsystem, including category, scope, and crawling frequency;

[0023] Step 1.2: Set the classification parameters of intellectual property information and the scoring method.

[0024] As a preferred technical solution of the above technical solution, step 5 is specifically implemented as follows:

[0025] Step 5.1: The information processing subsystem selects the corresponding calculation method according to the category of crawled information;

[0026] Step 5.2: Calculate the total score of the patent, software copyright or paper according to the scoring method set by the user;

[0027] Step 5.3: Obtain employee information and team information from the human resources management subsystem according to the inventor of the patent or the author of the paper;

[0028] Step 5.4: Calculate the score of each patent inventor or paper author according to the scoring method set by the user;

[0029] Step 5.5: Calculate the score of each completing team according to the scoring method set by the user.

[0030] As a preferred technical solution of the above technical solutions, the categories of intellectual property information crawled in step 5.1 include patent information, software copyright information and paper information.

[0031] As a preferred technical solution of the above technical solution, when the category of the intellectual property information crawled in step 5.1 is patent information, step 5.1 is specifically implemented as follows:

[0032] Step 5.1.1: Extract the types of patent information and assign scores to invention patents, utility models and designs according to the scoring method set by the user;

[0033] Step 5.1.2: When a utility model patent or design patent is detected, the status score is calculated as 100%;

[0034] Step 5.1.3: Extract the status of invention patents, and calculate and assign scores to the two statuses of invention publication and invention authorization respectively according to the scoring method set by the user;

[0035] Step 5.1.4: Extract the patentee information of the patent information, and calculate the patent right percentage according to the number of patentees according to the scoring method for patentees set by the user;

[0036] Step 5.1.5: Extract the inventor information of the patent information and calculate the scores of the inventors and the completing team of the unit.

[0037] As a preferred technical solution of the above technical solution, step 5.1.5 is specifically implemented as follows:

[0038] Step 5.1.5.1: Determine whether the inventor is an employee of the unit and obtain the team to which the inventor belongs from the personnel management subsystem according to the inventor.

[0039] Step 5.1.5.2: Calculate the inventor scores of the unit in order of the inventors of the patent according to the scoring method set by the user;

[0040] Step 5.1.5.3: Calculate the scores of the inventors' teams in this unit in order of the inventors' ranking according to the scoring method set by the user.

[0041] As a preferred technical solution of the above technical solution, when the category of the intellectual property information crawled in step 5.1 is software copyright information, step 5.1 is specifically implemented as follows:

[0042] Step 5.1.1: Extract the copyright owner information of the software copyright information, and calculate the copyright percentage according to the number of copyright owners according to the scoring method for copyright owners set by the user;

[0043] Step 5.1.2: Guide the user to manually input the inventor information of the software copyright;

[0044] Step 5.1.3: Calculate the scores of the inventors and the completion team of the unit based on the inventor information of the software copyright entered by the user.

[0045] As a preferred technical solution of the above technical solution, step 5.1.3 is specifically implemented as follows:

[0046] Step 5.1.3.1: Calculate the inventor scores of the unit in the order of the inventors of the software patent according to the scoring method set by the user;

[0047] Step 5.1.3.2: Calculate the scores of the inventors' teams in this unit in order of the inventors' ranking according to the scoring method set by the user.

[0048] The automatic performance appraisal method and system based on crawling of public intellectual property information disclosed in the present invention have the beneficial effect of automatically crawling the unit's patents, software copyrights, papers and other public intellectual property information. On the one hand, it can be saved in the intellectual property library as the unit's knowledge reserve, and on the other hand, it can be combined with KPI performance appraisal rules to automatically score scientific research teams and researchers. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a system block diagram of the present invention.

[0050] Figure 2 It is a flow chart of the performance appraisal method of the present invention. DETAILED DESCRIPTION

[0051] The present invention discloses an automatic performance evaluation method and system based on public intellectual property information crawling. Figure 1 and Figure 2 , the specific implementation modes of the present invention are further described.

[0052] Example 1.

[0053] Preferably, the automatic performance appraisal system based on public intellectual property information crawling includes a personnel management subsystem, a performance appraisal subsystem, an intellectual property management subsystem, a crawler subsystem (crawler service) and an information processing subsystem (information processing service). The intellectual property management subsystem has a built-in intellectual property management subsystem database, the personnel management subsystem has a built-in personnel management subsystem database, and the performance appraisal subsystem has a built-in performance appraisal subsystem database, wherein:

[0054] The human resources management subsystem database stores team information and employee information;

[0055] The performance appraisal subsystem database stores team appraisal information and employee appraisal information;

[0056] The intellectual property management subsystem database stores intellectual property information;

[0057] The crawler subsystem crawls (public) intellectual property information from the Internet (the crawled intellectual property information can be temporarily stored in the intellectual property management subsystem database), and outputs the crawled intellectual property information to the information processing subsystem;

[0058] The information processing subsystem classifies the crawled intellectual property information according to preset classification parameters to generate different types of intellectual property information, and outputs the classified intellectual property information to the intellectual property management subsystem;

[0059] The information processing subsystem obtains team information and employee information from the personnel management subsystem database (information processing subsystem), and obtains classified intellectual property information from the intellectual property management subsystem database (information processing subsystem), generates team performance information and employee performance information according to a preset scoring method, and outputs team performance information and employee performance information to the performance appraisal subsystem database; thereby realizing automatic crawling of the unit's patents, software copyrights, papers and other public intellectual property information. On the one hand, it can be saved in the intellectual property database as the unit's knowledge reserve, and on the other hand, it can be combined with KPI performance appraisal rules to automatically score scientific research teams and researchers.

[0060] Among them, intellectual property information includes patent information, software copyright information and paper information.

[0061] Preferably, the automatic performance evaluation method based on public intellectual property information crawling is applied to an automatic performance evaluation system based on public intellectual property information crawling, and the automatic performance evaluation method based on public intellectual property information crawling includes the following steps:

[0062] Step 1: Initialize the crawler subsystem and information processing subsystem;

[0063] Step 2: The crawler subsystem automatically crawls the public intellectual property information of the unit according to the crawler parameters, and outputs the crawled public intellectual property information of the unit to the information processing subsystem;

[0064] Step 3: The information processing subsystem verifies the validity of the intellectual property information. If the intellectual property information does not belong to this unit, it is directly discarded (to avoid mixing with non-unit information). Otherwise, the uniqueness of the intellectual property information is verified. If the intellectual property information already exists, it is directly discarded (no repeated calculation to avoid repeated scoring). Otherwise, step 4 is executed;

[0065] Step 4: The information processing subsystem outputs the verified intellectual property information to the intellectual property management subsystem;

[0066] Step 5: The information processing subsystem calculates performance information according to information categories;

[0067] Step 6: The information processing subsystem outputs performance information to the performance appraisal subsystem.

[0068] Wherein, step 1 is specifically implemented as the following steps:

[0069] Step 1.1: Set the crawler parameters of the crawler subsystem, including category, scope, and crawling frequency;

[0070] Step 1.2: Set the classification parameters of intellectual property information and the scoring method.

[0071] Wherein, step 5 is specifically implemented as the following steps:

[0072] Step 5.1: The information processing subsystem selects the corresponding calculation method according to the category of crawled information;

[0073] Step 5.2: Calculate the total score of the patent, software copyright or paper according to the scoring method set by the user;

[0074] Step 5.3: Obtain employee information and team information from the human resources management subsystem according to the inventor of the patent or the author of the paper;

[0075] Step 5.4: Calculate the score of each patent inventor or paper author according to the scoring method set by the user;

[0076] Step 5.5: Calculate the score of each completing team according to the scoring method set by the user.

[0077] Among them, the categories of intellectual property information crawled in step 5.1 include patent information, software copyright information and paper information.

[0078] Among them, when the category of the intellectual property information crawled in step 5.1 is patent information, step 5.1 is specifically implemented as follows:

[0079] Step 5.1.1: Extract the type of patent information, and assign points to the three types of invention patents, utility models and designs according to the scoring method set by the user (e.g., 300 points for each invention patent, 100 points for utility models, and 50 points for designs);

[0080] Step 5.1.2: When a utility model patent or design patent is detected (because there is no substantive examination for utility model and design patents), the status score is calculated as 100%;

[0081] Step 5.1.3: Extract the status of invention patents, and calculate and assign points to the two statuses of invention publication and invention authorization according to the scoring method set by the user (for example, if invention publication accounts for 40% and invention authorization accounts for 60%, then invention publication is assigned 120 points and invention authorization is assigned 180 points);

[0082] Step 5.1.4: Extract the patentee information of the patent information, and calculate the patent right percentage according to the number of patentees according to the scoring method for patentees set by the user (for example, if there are 2 patentees, the unit accounts for 50%);

[0083] Step 5.1.5: Extract the inventor information of the patent information and calculate the scores of the inventors and the completing team of the unit.

[0084] Among them, step 5.1.5 is specifically implemented as follows:

[0085] Step 5.1.5.1: Determine whether the inventor is an employee of the unit and obtain the team to which the inventor belongs from the personnel management subsystem according to the inventor.

[0086] Step 5.1.5.2: Calculate the inventor scores of the unit in order of the inventors of the patent according to the scoring method set by the user;

[0087] Step 5.1.5.3: Calculate the scores of the inventors' teams in this unit in order of the inventors' ranking according to the scoring method set by the user.

[0088] Among them, when the category of the intellectual property information crawled in step 5.1 is software copyright information, step 5.1 is specifically implemented as follows:

[0089] Step 5.1.1: Extract the copyright owner information of the software copyright information, and calculate the copyright percentage according to the number of copyright owners according to the scoring method set by the user (for example, if there are 2 copyright owners, the unit accounts for 50%);

[0090] Step 5.1.2: Guide the user to manually input the inventor information of the software copyright;

[0091] Step 5.1.3: Calculate the scores of the inventors and the completion team of the unit based on the inventor information of the software copyright entered by the user.

[0092] Among them, step 5.1.3 is specifically implemented as the following steps:

[0093] Step 5.1.3.1: Calculate the inventor scores of the unit in the order of the inventors of the software patent according to the scoring method set by the user;

[0094] Step 5.1.3.2: Calculate the scores of the inventors' teams in this unit in order of the inventors' ranking according to the scoring method set by the user.

[0095] Among them, when the category of the intellectual property information crawled in step 5.1 is paper information, step 5.1 is specifically implemented as follows:

[0096] Step 5.1.1: Extract the journal where the paper is published, obtain the journal's partition and impact factor, and assign points to the paper according to the scoring method set by the user;

[0097] Step 5.1.2: Extract the author information of the paper and calculate the scores of the authors and the completing team of the unit.

[0098] Among them, step 5.1.2 is specifically implemented as follows:

[0099] Step 5.1.2.1: Determine whether the author is an employee of the unit and obtain the team to which the author belongs from the human resources management subsystem;

[0100] Step 5.1.2.2: Calculate the inventor scores of the unit in the order of the paper authors according to the scoring method set by the user;

[0101] Step 5.1.2.3: Calculate the scores of the inventor's team in this unit according to the scoring method set by the user and in order of the paper authors.

[0102] Example 2.

[0103] On the basis of Example 1, the technical solution of Example 1 is rewritten as the technical solution of the following technical solution (Example 2).

[0104] Table 1 Intellectual Property Rights Points Table

[0105]

[0106] Specifically, referring to Table 1 (Intellectual Property Rights Score Table), the preset scoring methods in Example 1 include a team performance scoring method and a performer performance scoring method. Among them, the "performer" in the performer performance scoring method includes but is not limited to the author and inventor.

[0107] Among them, the team performance scoring method is represented by formula 1:

[0108]

[0109] Among them, S is the total score, and the patent owner or paper author unit including each intellectual property right of the unit is T. k , the number of completed units is h, and the proportion of each unit to the intellectual property is P i (If there is an agreement stipulating the proportion of each unit, the percentage will be allocated according to the proportion stipulated in the agreement. If there is no agreement that clearly stipulates the proportion, the percentage will be allocated equally according to the number of completed units, that is, P i =1 / h×100%), the unit ranks the number of participating teams in the unit m, and the proportion of intellectual property rights of each team P j (If there is an agreement stipulating the proportion of each team, the percentage will be allocated according to the proportion stipulated in the agreement; if there is no agreement clearly stipulating the proportion, the percentage will be allocated equally according to the number of completed teams, that is, P i =1 / m×100%).

[0110] The performance scoring method of the completer is represented by formula (2):

[0111]

[0112] Among them, S is the total score, and the patent owner or paper author unit including each intellectual property right of the unit is T. k , the proportion of people who complete the task is P i (The first inventor or the first author of the paper or the corresponding author of the paper is scored as 100%, that is, P i =100%; the remaining inventors or paper authors are scored at 20%, that is, P i =20%).

[0113] It is worth mentioning that the technical features such as the specific composition of the crawler subsystem involved in the patent application of this invention should be regarded as the prior art. The specific structure, working principle and possible control method and spatial layout method of these technical features can be selected according to the conventional selection in the field, and should not be regarded as the inventive point of the patent of this invention. The patent of this invention will not be further elaborated.

[0114] For those skilled in the art, it is still possible to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An automatic performance evaluation system based on public intellectual property information crawling, characterized in that: It includes personnel management subsystem, performance appraisal subsystem, intellectual property management subsystem, crawler subsystem and information processing subsystem. The intellectual property management subsystem has a built-in intellectual property management subsystem database, the personnel management subsystem has a built-in personnel management subsystem database, and the performance appraisal subsystem has a built-in performance appraisal subsystem database, among which: The human resources management subsystem database stores team information and employee information; The performance appraisal subsystem database stores team appraisal information and employee appraisal information; The intellectual property management subsystem database stores intellectual property information; The crawler subsystem crawls intellectual property information from the Internet and outputs the crawled intellectual property information to the information processing subsystem; The information processing subsystem classifies the crawled intellectual property information according to preset classification parameters to generate different types of intellectual property information, and outputs the classified intellectual property information to the intellectual property management subsystem; The information processing subsystem obtains team information and employee information from the human resources management subsystem database, and obtains classified intellectual property information from the intellectual property management subsystem database, generates team performance information and employee performance information according to a preset scoring method, and outputs the team performance information and employee performance information to the performance appraisal subsystem database.

2. The automatic performance evaluation system based on public intellectual property information crawling according to claim 1 is characterized in that: Intellectual property information includes patent information, software copyright information and paper information.

3. An automatic performance evaluation method based on public intellectual property information crawling, applied to the automatic performance evaluation system based on public intellectual property information crawling of claim 1 or claim 2, characterized in that: The following steps are involved: Step 1: Initialize the crawler subsystem and information processing subsystem; Step 2: The crawler subsystem automatically crawls the public intellectual property information of the unit according to the crawler parameters, and outputs the crawled public intellectual property information of the unit to the information processing subsystem; Step 3: The information processing subsystem verifies the validity of the intellectual property information. If the intellectual property information does not belong to the unit, it is directly discarded. Otherwise, the uniqueness of the intellectual property information is verified. If the intellectual property information already exists, it is directly discarded. Otherwise, step 4 is executed. Step 4: The information processing subsystem outputs the verified intellectual property information to the intellectual property management subsystem; Step 5: The information processing subsystem calculates performance information according to information categories; Step 6: The information processing subsystem outputs performance information to the performance appraisal subsystem.

4. The automatic performance evaluation method for crawling public intellectual property information according to claim 3 is characterized in that: Step 1 is specifically implemented as follows: Step 1.1: Set the crawler parameters of the crawler subsystem, including category, scope, and crawling frequency; Step 1.2: Set the classification parameters of intellectual property information and the scoring method.

5. The automatic performance evaluation method for crawling public intellectual property information according to claim 3 is characterized in that: Step 5 is specifically implemented as follows: Step 5.1: The information processing subsystem selects the corresponding calculation method according to the category of crawled information; Step 5.2: Calculate the total score of the patent, software copyright or paper according to the scoring method set by the user; Step 5.3: Obtain employee information and team information from the human resources management subsystem according to the inventor of the patent or the author of the paper; Step 5.4: Calculate the score of each patent inventor or paper author according to the scoring method set by the user; Step 5.5: Calculate the score of each completing team according to the scoring method set by the user.

6. The automatic performance evaluation method for crawling public intellectual property information according to claim 5 is characterized in that: The categories of intellectual property information crawled in step 5.1 include patent information, software copyright information and paper information.

7. The automatic performance evaluation method for crawling public intellectual property information according to claim 6 is characterized in that: When the category of the intellectual property information crawled in step 5.1 is patent information, step 5.1 is specifically implemented as follows: Step 5.1.1: Extract the types of patent information and assign scores to the three types of invention patents, utility models and designs according to the scoring method set by the user; Step 5.1.2: When a utility model patent or design patent is detected, the status score is calculated as 100%; Step 5.1.3: Extract the status of invention patents, and calculate and assign scores to the two statuses of invention publication and invention authorization respectively according to the scoring method set by the user; Step 5.1.4: Extract the patentee information of the patent information, and calculate the patent right percentage according to the number of patentees according to the scoring method for patentees set by the user; Step 5.1.5: Extract the inventor information of the patent information and calculate the scores of the inventors and the completing team of the unit.

8. The automatic performance evaluation method for crawling public intellectual property information according to claim 7 is characterized in that: Step 5.1.5 is specifically implemented as follows: Step 5.1.5.1: Determine whether the inventor is an employee of the unit and obtain the team to which the inventor belongs from the personnel management subsystem according to the inventor. Step 5.1.5.2: Calculate the inventor scores of the unit in order of the inventors of the patent according to the scoring method set by the user; Step 5.1.5.3: Calculate the scores of the inventors' teams in this unit in order of the inventors' ranking according to the scoring method set by the user.

9. The automatic performance evaluation method for crawling public intellectual property information according to claim 6 is characterized in that: When the category of the intellectual property information crawled in step 5.1 is software copyright information, step 5.1 is specifically implemented as follows: Step 5.1.1: Extract the copyright owner information of the software copyright information, and calculate the copyright percentage according to the number of copyright owners according to the scoring method for copyright owners set by the user; Step 5.1.2: Guide the user to manually input the inventor information of the software copyright; Step 5.1.3: Calculate the scores of the inventors and the completion team of the unit based on the inventor information of the software copyright entered by the user.

10. The automatic performance evaluation method for crawling public intellectual property information according to claim 9, characterized in that: Step 5.1.3 is specifically implemented as follows: Step 5.1.3.1: Calculate the inventor scores of the unit in the order of the inventors of the software patent according to the scoring method set by the user; Step 5.1.3.2: Calculate the scores of the inventors' teams in this unit according to the scoring method set by the user and in order of the inventors of the software patent.

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