Patent Information Market Determination System

Abstract

To provide a patent information market determination system that allows users to identify target cases and target individuals from patent information data, thereby enabling market determination of the degree of relevance of a target case to its target individual. [Solution] When a user identifies a case to be judged from patent information data and specifies a person whose relevance to the case to be judged in the market, the computer performs the following steps: a case content extraction step 12 in which case content data corresponding to predetermined items for the case to be judged is extracted; an instruction creation step 11 in which the person to be judged is written into the instruction data; an information transmission step 13 in which the case content data and instruction data are sent to the generation AI system 18; an information reception step 14 in which the response data is received; a market judgment data storage step 16 in which market judgment rank data included in the response data is stored as patent information data associated with the case to be judged; and an output step 17 in which market judgment rank data is output.

Description

[Technical Field]

[0001] The present invention relates to a patent information market evaluation system that accumulates patent publication data collected based on a set theme, performs market evaluation on the content of the accumulated patent publication data, and accumulates the market evaluation results in association with the patent publication data. [Background Art]

[0002] The present applicant has already proposed a patent information processing apparatus that can share evaluation information related to patent publications, accurately grasp the overall progress, and promptly and accurately perform continuous evaluation processing (Patent Document 1). [Prior Art Literature] [Patent Literature]

[0003] [Patent Document 1] Japanese Patent No. 5548517 [Summary of the Invention] [Problem to be Solved by the Invention]

[0004] However, for patent information such as patent publications, information collection for patent evaluation is required, and it is not easy to perform efficient and highly accurate patent evaluation. Many companies investigate and manage whether third parties practice their own-owned patents in products and the like. Similarly, companies daily investigate whether their own developed technologies, products and the like infringe patents owned by third parties, and perform management according to the degree of relevance. However, in order to individually manually investigate a huge amount of such related information and evaluate the relevance with patent information, enormous labor and time are required. In addition, since the proficiency and judgment level regarding patents vary among persons who perform patent evaluation, this may lead to variations in patent evaluation and erroneous evaluation. On the other hand, generative AI such as ChatGPT (registered trademark) is becoming widespread. Furthermore, generative AI is being developed with various proposed applications, such as invention extraction, translation, and drafting of patent specifications, and has become an indispensable tool as it is expected to reduce working hours.

[0005] Therefore, the present invention aims to provide a patent information market determination system that allows users to identify the target case and target person from patent information data, thereby obtaining market determination information on the degree of relevance of the target case to the target person, and is expected to reduce the effort and time required for research. [Means for solving the problem]

[0006] The patent information market determination system of the present invention as described in claim 1 is a patent information market determination system that stores patent information data collected based on a set theme, determines the market content of the stored patent information data, and stores the market determination results in association with the patent information data, wherein when a user identifies a case to be determined from the patent information data and specifies a person whose relationship to the case to be determined in the market, the computer performs a case content extraction step 12 in which it extracts case content data corresponding to predetermined items for the case to be determined, an instruction creation step 11 in which it writes the person to the instruction data, and the generation AI system 18 performs the case content extraction step 12 The system is characterized by the following steps: an information transmission step 13 which transmits the command data created in the command creation step 11 along with the case content data extracted; an information reception step 14 which receives response data from the generation AI system 18; a market judgment data storage step 16 which stores the market judgment rank data included in the response data received in the information reception step 14 as patent information data, associated with the case to be judged; and an output step 17 which outputs the market judgment rank data, wherein the command data includes market judgment rank selection command data which causes the system to select a market judgment rank indicating the degree of relevance of the case to be judged to the subject. The present invention as described in claim 2 is characterized in that, in the patent information market determination system as described in claim 1, the computer performs a title list display step 2 in which it displays a list of saved data titles by theme, and a matrix display step 3 in which it displays a matrix of the number of cases corresponding to the saved data titles identified by the user from among the saved data titles displayed in the title list display step 2, using display items specified by the user, and the cases to be determined are identified by the user identifying the display items displayed in the matrix display step 3. The present invention as described in claim 3 is characterized in that, in the patent information market determination system as described in claim 1, the computer performs a title list display step 2 which displays a list of saved data titles by theme, and a case details display step 4 which individually displays in detail the case data corresponding to the saved data title identified by the user from among the saved data titles displayed in the title list display step 2, and the case to be determined is identified when the user identifies the case data displayed in the case details display step 4. The present invention as described in claim 4 is a patent information market determination system as described in claim 1, wherein the user can select the target person as themselves or not themselves, and in the command statement creation step 11, if not themselves is selected, the system writes target person designation command data that instructs the user to write the target person who has been previously registered as not themselves and to respond by specifying the target person who was the basis for the selected market determination rank. The present invention as described in claim 5 is characterized in that, in the patent information market determination system described in claim 1, the instruction data includes justification creation instruction data that instructs to include the justification for the selected market determination rank in the response text. The present invention as described in claim 6 is characterized in that, in the patent information market determination system described in claim 1, the case content extraction step 12 extracts the case content data corresponding to the predetermined items specified by the user. The present invention as described in claim 7 is a patent information market determination system as described in claim 1, characterized in that the user can input reference data to be used for market determination, and in the instruction statement creation step 11, if the reference data has been input, the instruction statement data is written to indicate that market determination will be performed using the reference data. [Effects of the Invention]

[0007] According to the present invention, a market judgment rank indicating the degree of relevance to a specific target person can be assigned to the case being judged. [Brief explanation of the drawing]

[0008] [Figure 1] Flowchart of a patent information market determination system in one embodiment of the present invention [Figure 2] Image of a display screen shown by a computer. [Figure 3] Image of the project details display screen shown by the computer. [Figure 4] An explanatory diagram showing an example of instruction data for a generation AI system. [Figure 5] Other output image diagrams in the output step [Figure 6] Flowchart of a patent information market determination system in another embodiment of the present invention [Figure 7] Image of an input screen displayed by a computer. [Figure 8] Figure 7 shows an example of a standard data file: a research and development proposal. [Figure 9] Figure 7 shows another example of a reference data file, which is a figure illustrating reference parameter values. [Figure 10] An explanatory diagram showing an example of instruction data for a generation AI system. [Figure 11] Further output image diagrams in the output step [Modes for carrying out the invention]

[0009] The first embodiment of the present invention provides a patent information market determination system in which, when a user identifies a case to be determined from patent information data and specifies a person whose relevance to the case to be determined in the market, the computer performs the following steps: a case content extraction step in which case content data corresponding to predetermined items is extracted for the case to be determined; an instruction creation step in which the person is written into instruction data; an information transmission step in which the instruction data created in the instruction creation step is sent to the generating AI system along with the case content data extracted in the case content extraction step; an information reception step in which response data is received from the generating AI system is received; a market determination data storage step in which market determination rank data included in the response data received in the information reception step is stored as patent information data associated with the case to be determined; and an output step in which market determination rank data is output. The instruction data includes market determination rank selection instruction data that causes the user to select a market determination rank indicating the degree of relevance of the case to the person to be determined. According to this embodiment, market determination information on the degree of relevance to the identified person can be obtained, and it is expected that the effort and time required for the investigation will be reduced.

[0010] A second embodiment of the present invention is a patent information market determination system according to the first embodiment, wherein the computer performs a title list display step in which it displays a list of saved data titles by theme, and a matrix display step in which it displays a matrix of the number of cases corresponding to the saved data titles identified by the user from among the saved data titles listed in the title list display step, using display items specified by the user. The cases to be determined are identified by the user identifying the display items displayed in the matrix display step. According to this embodiment, since the cases to be determined can be identified based on the matrix display using display items specified by the user, the necessary summary data can be obtained efficiently.

[0011] According to a third embodiment of the present invention, in the patent information market assessment system according to the first embodiment, a computer executes: a title list display step of displaying a list of stored data titles for each theme; and a case detail display step of individually displaying details of case data corresponding to the stored data title specified by the user from among the stored data titles listed in the title list display step, wherein the case to be assessed is specified by the user specifying the case data displayed in the case detail display step. According to the present embodiment, since the case to be assessed can be specified based on the individually detailed case data, necessary summary data can be obtained efficiently.

[0012] According to a fourth embodiment of the present invention, in the patent information market assessment system according to the first embodiment, a user can select whether a subject is the user itself or a non-user entity, and in the command statement creation step, if non-user is selected, a subject pre-registered as a non-user entity is entered, and subject designation command data that instructs to specify and reply with the subject that is the basis of the selected market assessment rank is written. According to the present embodiment, infringement of the user's own patent by other companies and the impact on other companies can be predicted.

[0013] According to a fifth embodiment of the present invention, in the patent information market assessment system according to the first embodiment, the command statement data includes ground reason creation command data that instructs to include the ground reason for the selected market assessment rank in the reply statement. According to the present embodiment, infringing products can be estimated based on the ground reason.

[0014] According to a sixth embodiment of the present invention, in the patent information market assessment system according to the first embodiment, in the case content extraction step, case content data corresponding to a predetermined item specified by the user is extracted. According to the present embodiment, since the user can specify the predetermined item, by designating the effect of the invention and industrial applicability as the predetermined items, the assessment can be adapted to the user's market assessment points.

[0015] A seventh embodiment of the present invention is a patent information market determination system according to the first embodiment, wherein the user can input reference data to be used for market determination, and in the command creation step, if reference data has been input, the command to perform market determination using the reference data is written to the command data. According to this embodiment, a more accurate market evaluation can be expected by performing market determination using reference data. [Examples]

[0016] An embodiment of the patent information market determination system of the present invention will be described below. Figure 1 is a flowchart of a patent information market determination system in one embodiment of the present invention. Figure 2 shows an image of the display screen displayed by the computer, with Figure 2(a) showing the title list display screen and Figure 2(b) showing the matrix display screen. Figure 3 is an image of the case details display screen displayed by the computer. Figure 3(a) shows the case details display screen without market judgment information generated by the AI ​​generation system, and Figure 3(b) shows the case details display screen with market judgment information generated by the AI ​​generation system. Figure 4 is an explanatory diagram showing an example of instruction data for a generative AI system.

[0017] In this embodiment, the patent information market determination system stores patent information data collected based on a set theme in an information database 1, performs a market determination on the content of the stored patent information data, and stores the market determination result in the information database 1 in association with the patent information data. Here, patent information data includes at least patent information data collected from patent information, as well as paper information data collected from research papers, release information data collected from news releases, internal information data collected from internal patent information, catalog information data collected from product catalogs and technical catalogs, design information data collected from design information, and other information data. The patent information consists of domestic patent publications and published patent gazettes, but it is preferable to include international published gazettes and patent publications and published patent gazettes from other countries. Furthermore, the patent information market determination system has a monitoring function, and information regarding the progress of the accumulated patent publication data, such as the application examination request procedure, notice of reasons for rejection, submission of opinion, submission of amendment, delivery of examination transcript, payment of patent fees, and expiration of rights, is also stored in information database 1.

[0018] The computer performs the following steps: Title list display step 2 (S2), matrix display step 3 (S3), and case details display step 4 (S4).

[0019] In step 2 of displaying the title list, the saved data titles are displayed in a list categorized by theme. The title list display screen shown in step 2 of the title list display, as shown in Figure 2(a), displays the saved data titles, along with the name of the department in charge, the main person in charge, and the number of data items, as well as the number of items that have been market-determined, the number of items that have not yet been market-determined, the number of items that are not needed as market-determined results (trash), and the progress rate of market determination. In the matrix display step 3, the number of cases corresponding to the saved data title identified by the user from the saved data titles listed in the title list display step 2 is displayed in a matrix using the display items specified by the user.

[0020] The matrix display screen shown in step 3 is a matrix display consisting of items in the vertical columns and items in the horizontal columns, as shown in Figure 2(b). Figure 2(b) shows the case where the user specifies the title at the top of the saved data titles in Figure 2(a). In Figure 2(b), the vertical columns represent the applicant or right holder, and the horizontal columns represent the year of publication of the registration gazette.

[0021] In the case details display step 4, the case data corresponding to the saved data title identified by the user from the saved data titles displayed in the title list display step 2 will be displayed in detail individually. As shown in Figure 3, the case details screen displayed in step 4 shows, for each case, a number identifying the case (e.g., application number, publication number, registration number), application date, publication date, registration date, title of the invention, abstract, claims, drawings, and market determination result. Furthermore, the computer can also transition from the matrix display screen to the case details display screen at the user's command. In other words, the case details display screen can be displayed by specifying the display items identified by the user on the matrix display screen, or by specifying the number of cases displayed in the matrix.

[0022] The user identifies the display items shown in step 3 of the matrix display, thereby identifying the cases to be judged (S5). Figure 2(b) shows the case where the fourth item from the top is identified as the applicant or right holder, and the publication dates of the gazette are specified as 2022 and 2023. In this way, by identifying the items in the vertical and horizontal columns, the cases subject to evaluation can be identified. In the case of Figure 2(b), seven cases are identified as subject to evaluation. Furthermore, the case to be evaluated is identified by the user by specifying the case data displayed in the case details display step 4 (S6). Figure 3(a) shows the case where the first case data is identified. In this way, by identifying individual case data, it is possible to identify the cases to be evaluated.

[0023] In steps 7 and 8 (S7 and S8) of the Market Judgment Subject Designation, subjects whose relevance to the judgment case will be determined in the market are specified. Subjects in steps 7 and 8 (S7 and S8) can be selected from pre-registered subjects (corporate name or individual name) or entered individually. Subjects can be specified by partial word matching, for example, by using identification numbers or company symbols in patent information. Subjects can be selected as themselves or non-themselves, and multiple subjects can be specified as either themselves or non-themselves. As shown in Figure 2(b), if the information is displayed in a matrix by applicant or right holder, the target group may be specified by designating the applicant or right holder displayed in the matrix. Alternatively, it is also possible to specify the target group as unspecified.

[0024] In steps 9 and 10 (S9 and S10) for specifying predetermined items, the user can specify predetermined items. The data specified in the designated fields here will be the case details data to be sent to the AI ​​generation system 18. For example, if the case to be judged is patent information data, the user can specify the title of the invention, the claims, and the abstract as prescribed items. Alternatively, the user can specify at least one of the title of the invention, the claims, and the abstract, along with the effects and industrial applicability of the invention, or specify the specification as a prescribed item. In this way, by allowing users to specify predetermined items, it becomes possible to obtain summaries tailored to the user's market judgment criteria. Alternatively, instead of requiring the user to specify the required items in S9 and S10, the computer may extract the data described in the pre-configured required items and use it as case details data.

[0025] In S5 and S6, the cases to be judged are identified, in S7 and S8, the subjects to be judged in relation to the cases to be judged are specified, and if necessary, the specified items in S9 and S10 are specified. Then the computer executes the command creation step 11 (S11), the case content extraction step 12 (S12), the information transmission step 13 (S13), the information reception step 14 (S14), the market judgment data extraction step 15 (S15), the market judgment data storage step 16 (S16), and the output step 17 (S17).

[0026] In the command creation step 11, the target person is written into the command data. In the command creation step 11, if "non-self" is selected, the target person who has been registered as "non-self" in advance is written, and target person specification command data is written in which the response is instructed to specify the target person who was the basis for the selected market judgment rank. In the case details extraction step 12, case details data corresponding to the specified items for the cases to be evaluated are extracted from the information database 1. In the information transmission step 13, the command data is sent to the generating AI system 18 along with the case content data extracted in the case content extraction step 12.

[0027] Here, the command data includes market judgment rank selection command data that instructs the user to select a market judgment rank indicating the degree of relevance of the case to the target person, and justification creation command data that instructs the user to include the reasoning behind the selected market judgment rank in the response. In addition, data about the target person is written to the command data. Furthermore, it is preferable that the instruction data includes language-specific instruction data that identifies the language of the response data. The command data does not contain any information that would allow a third party to identify the case being reviewed. Here, information that would allow a third party to identify the case being reviewed would include, for example, the application number, publication number, or patent number in the case of patent information. To prevent this, a unique number is assigned to each case being reviewed upon receipt.

[0028] In the information reception step 14, response text data is received from the generation AI system 18. In the market judgment data extraction step 15, the market judgment rank included in the response data received in the information reception step 14 is extracted. In the market judgment data storage step 16, the market judgment rank extracted in the market judgment data extraction step 15 is stored in the information database 1 as market judgment information data, associated with the case being judged, along with the reasons for the selected market judgment rank. The market judgment rank and the reasons for the market judgment rank are stored separately for each case being judged based on the unique information contained in the received response text. Therefore, by not including information that allows a third party to identify the case being judged, such as application numbers, publication numbers, or patent numbers, it is possible to prevent the leakage of internal company information through the use of generating AI. In output step 17, the market judgment rank is output along with the reasons for the selected market judgment rank. The output in output step 17 is performed by displaying the market judgment rank in the market judgment item column and the judgment reason in the judgment reason column for the case data displayed in case details display step 4, as shown in Figure 3(b). In this way, the market judgment rank is displayed in the market judgment item column for each individually detailed case data, and the reason for the judgment is displayed in the judgment reason column. By referring to this information, it is possible to select irrelevant noise patents and perform more accurate and efficient market judgments on case data manually.

[0029] Figure 5 shows other output images in the output step. Figure 5(a) is a matrix display where the items in the vertical column are categorized by market judgment rank as net information judgment, and the items in the horizontal column are categorized by the year of publication of the registration gazette. Figure 5(b) is a matrix display of other judgment results and market judgment rank. As shown in Figure 5(a), the number of cases subject to evaluation can be displayed in a matrix format, categorized by market evaluation rank, registration year, application year, and publication year. Furthermore, as shown in Figure 5(b), a matrix aggregation display can be performed between different judgments. The "search judgment" and "noise judgment" shown in Figure 5(b) may be judgments made by human visual inspection or AI judgments using training data. By displaying cross-tabulations between different judgments in this way, for example, if one of the judgments is a "noise judgment" and the market judgment rank is "D" or "E", it is possible to exclude it as a case that does not require evaluation, thereby achieving a significant improvement in the efficiency of noise reduction.

[0030] Figure 6 is a flowchart of a patent information market determination system in another embodiment of the present invention. Steps or functions identical to those in the flowchart shown in Figure 1 are denoted by the same reference numerals and their descriptions are omitted. The flowchart shown in Figure 6 further includes reference data input steps 21 (S21) and 22 (S22). In the reference data input steps 21 and 22, the reference data to be used for market determination is entered. Reference data includes, for example, research and development proposals, parameters used as evaluation criteria, catalogs, design drawings, product instruction manuals, or product specifications. This data can be entered either by directly entering it into the designated field or by attaching the reference file. Steps 21 and 22 for entering reference data are not mandatory, and it is not required to enter reference data. If reference data is not entered in steps 21 and 22, step 11 for creating an instruction will create an instruction to obtain data on the subject's products and technologies from a server on the internet. When obtaining data from a server on the internet, it is also possible to create an instruction that limits the source to a specific one. Furthermore, in the reference data input steps 21 and 22, if reference data has been entered, an instruction statement will be created to prevent the acquisition of data regarding the subject's products and technologies from an internet server. Alternatively, even if reference data has been entered, an instruction statement may be created to acquire data regarding the subject's products and technologies from an internet server. Also, if reference data has been entered, an instruction statement may be created to use the reference data as the basis for market evaluation and to use data from the internet as supplementary information. Thus, in the reference data input steps 21 and 22, if reference data has been entered, the instruction creation step 11 writes to the instruction data that market determination will be made using the reference data.

[0031] Figure 7 is an image of an input screen displayed by a computer. In the input screen shown in Figure 7, you can input the subjects whose relevance to the case to be determined in market determination steps 7 and 8, the prescribed items in prescribed item specification steps 9 and 10, and the standard data in standard data input steps 21 and 22. The input screen shown in Figure 7 displays the default command used in command creation step 11, and also allows users to modify this default command. Furthermore, the input screen shown in Figure 7 displays the number of executable items within a specified period. In Figure 7, it is shown that 611 items have been judged and executed, and 19,389 items remain executable.

[0032] Figure 8 is a research and development proposal, which is an example of a standard data file as shown in Figure 7. For example, if the target company in steps 7 and 8 for market evaluation is designated as the company itself, and the company's research and development plan is used as the reference data in steps 21 and 22 for entering the reference data, then market evaluation will be performed on the projects identified in steps 5 and 6 for evaluation. Therefore, if the case under review is that of another company, it is possible to identify other companies' patents that are highly likely to infringe on the company's own research and development, as well as other companies' patent information that can be used in the company's own research and development. If the case under review is the company's own patent, it is possible to identify the company's own patents that can protect the company's own research and development.

[0033] Figure 9 shows reference parameter values, which are another example of a reference data file as shown in Figure 7. For example, if the target in steps 7 and 8 for market determination is set to another company, and the standard parameter values ​​of the products of the designated other company are used as the standard data in steps 21 and 22 for inputting standard data, then a market determination will be performed for the cases identified in steps 5 and 6 for determining the cases to be judged. Therefore, if the case under review is a case involving another company, it is possible to identify the patents related to the target company's products. If the case under review is an internal patent, it is possible to identify the internal patents used in the target company's products.

[0034] Figure 10 is an explanatory diagram showing an example of instruction data for a generating AI system. Figure 11 shows yet another output image diagram in the output step, where Figure 11(a) is a matrix display screen and Figure 11(b) is a display screen showing a comparison of parameter values ​​displayed for each case data. Figure 11(a) shows the number of cases subject to evaluation by year, with evaluation items being highly relevant, moderately relevant, reference level, irrelevant, and unknown, for the reference data entered in the reference data input steps 21 and 22. Figure 11(b) displays the parameter name, criteria, comparison target, and judgment result for each target case, based on the parameter values ​​entered in the standard data input steps 21 and 22.

[0035] As described above, according to this embodiment, the computer performs the following steps: a case content extraction step 12 in which it extracts case content data corresponding to predetermined items for the case to be judged; an instruction creation step 11 in which it writes the target person into the instruction data; an information transmission step 13 in which it transmits the instruction data created in the instruction creation step 11 along with the case content data extracted in the case content extraction step 12 to the generation AI system 18; an information reception step 14 in which it receives response data from the generation AI system 18; a market judgment data storage step 16 in which it stores the market judgment rank data included in the response data received in the information reception step 14 as patent information data associated with the case to be judged; and an output step 17 in which it outputs the market judgment rank data. The instruction data has market judgment rank selection instruction data that causes the computer to select a market judgment rank indicating the degree of relevance of the target person to the case to be judged, and a market judgment rank indicating the degree of relevance of the specified target person can be assigned to the case to be judged. Furthermore, according to this embodiment, the user can select either themselves or a non-self as the target, and if a non-self is selected, the command creation step 11 writes target designation command data that instructs the user to write a target that has been pre-registered as a non-self and to respond by specifying the target that was the basis for the selected market determination rank, thereby enabling the user to predict infringement of their patents by other companies and the impact on other companies. [Industrial applicability]

[0036] According to the present invention, when evaluating the relationship between individual patent information and development technologies or products, noise patents can be removed by automated market determination and the information underlying it, which is organized based on relevant information such as websites, company information, papers / literature, or news releases related to the subject. Furthermore, this information can be referenced when performing manual patent evaluations, allowing for accurate and efficient assignment of patent evaluation ranks to the cases being evaluated. [Explanation of Symbols]

[0037] 1. Information Database 2. Title List Display Step 3. Matrix display step 4. Steps to display case details 7. Step to designate market evaluation target individuals. 8. Step to designate market determination target individuals. 9. Step to specify predetermined items 10. Step to specify predetermined items 11. Instruction creation step 12. Steps to extract project details 13. Information transmission step 14. Information Reception Step 15. Market determination data extraction step 16. Market determination data storage step 17 Output Step 18. Generative AI System 21, 22 Reference data entry step

Claims

1. A patent information market determination system that stores patent information data collected based on a set theme, determines the market value of the content of the stored patent information data, and stores the market determination results in association with the patent information data, When a user identifies a case to be judged from the aforementioned patent information data and specifies a person whose relevance to the aforementioned case will be determined in the market, Computers For the aforementioned cases subject to evaluation, a case content extraction step is performed to extract case content data corresponding to predetermined items, A command creation step in which the target person is written into the command data, An information transmission step that transmits the command data created in the command creation step along with the case content data extracted in the case content extraction step to the generation AI system, The information receiving step includes receiving response data from the aforementioned AI generation system, A market determination data storage step which stores the market determination rank data included in the response text data received in the information reception step as patent information data and associates it with the case to be determined, The output step of outputting the aforementioned market judgment rank data Execute, The aforementioned instruction data includes: Market judgment rank selection command data that prompts the selection of a market judgment rank indicating the degree of relevance of the aforementioned case to the aforementioned person. has A patent information market determination system characterized by the following features.

2. The aforementioned computer, A title list display step that displays a list of saved data titles by theme, A matrix display step in which the number of cases corresponding to the saved data title identified by the user from the saved data titles displayed in the title list step is displayed in a matrix using display items specified by the user. Execute, The user identifies the display items shown in the matrix display step, thereby identifying the case to be judged. The patent information market determination system according to feature 1.

3. The aforementioned computer, A title list display step that displays a list of saved data titles by theme, A case details display step, which individually displays in detail the case data corresponding to the saved data title identified by the user from among the saved data titles displayed in the title list display step; Execute, The user identifies the case data displayed in the case details display step, thereby identifying the case to be judged. The patent information market determination system according to feature 1.

4. The user can select the target person to be themselves or a non-self. In the command creation step, if the non-self is selected, the command writes the subject who has been previously registered as the non-self, and then writes subject designation command data that instructs the responder to specify the subject who was the basis for the selected market determination rank. The patent information market determination system according to feature 1.

5. The instruction data includes justification creation instruction data that instructs the response to include the justification for the selected market judgment rank. The patent information market determination system according to feature 1.

6. In the aforementioned step of extracting case details, Extract the case details data corresponding to the predetermined items specified by the user. The patent information market determination system according to feature 1.

7. The aforementioned user can input the standard data to be used for market determination. In the command creation step, if the reference data is input, the command data is written to perform a market determination using the reference data. The patent information market determination system according to feature 1.

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