JP6019303B1 - Problem solving support system - Google Patents

Abstract

The present invention seeks to develop a variety of peripheral deformation forms from the seeds of the created invention, and further enhance the technology group by reflecting information on market needs. Two or more kinds of mining steps for extracting text information from electronic data in which information about newly created creations is described, reference text information reflecting information about creations, and two or more types in advance In addition to acquiring the association with the solution concept classified in the above, and by referring to the association, the reference text information partially or partially coincident with the text information extracted by the mining means A search step for searching for and outputting any one or more solution concepts. [Selection] Figure 3

Description

  The present invention relates to a problem solving support system and method, and a problem solving support program suitable for efficiently providing a concept for solving a conventional problem in a newly created artificially created product.

  Innovation is broadly classified into two types: needs-first-innovation that is created based on market needs, and seeds-first-innovation that connects technology seeds to social value. In particular, the latter seeds-first-innovation means that even if the seeds of the technology itself are superior technologies that are inventive compared to the conventional technology, unless they are to be accepted in the real world, that is to say firmly to the needs of the market. Unless it is a link, it is hard to say that innovation is true.

  In other words, from R & D to commercialization and mass dissemination, the so-called Death Valley and Darwin Sea stand out. And if this is overcome, the seeds of the technology that has been created will develop into social value and become a true innovation.

  In order to develop such seeds-first innovation, it is necessary to develop from the seeds of technology into forms and incidental ideas that meet the needs of society as shown in FIG. In other words, even if technology seeds alone do not immediately link to market needs, there may be cases where a variant based on this technology is accepted by society for the first time. By digging up many of the surrounding deformation forms from such technology seeds, it is possible to increase the possibility that the technology group centered on the technology seeds will be accepted by society and lead to great demand, They can all be protected by patents to prevent imitation of other companies by alternatives. In addition, in the process of creating a technology group centered on the seeds of this technology, it is possible to further strengthen this technology group by reflecting information on market needs.

  A system that supports innovation creation has been proposed in the past (see, for example, Patent Document 1). This patent document 1 is a technology based on the premise that input character information is grouped and problem analysis is performed by a problem analysis method, and not only the idea creation process but also the scenario is finally generated. Is disclosed.

JP 2005-284548 A

  However, according to the technology disclosed in Patent Document 1 described above, it is not a technology based on the assumption that a variety of peripheral deformation forms are dug out from the seeds of the invention that has already been created, and information on market needs is reflected. The technology group is not further strengthened.

  Therefore, the present invention has been devised in view of the above-mentioned problems, and the object of the present invention is to develop a variety of peripheral deformation forms from the seeds of the created invention, and to meet market needs. It is to provide a problem solving support system that can further enhance the technology group by reflecting information on the above.

The problem solving support system according to claim 1 is a mining means for extracting text information from electronic data in which information on a newly created creation is described, and a reference text reflecting information on the creation. In addition to acquiring in advance three or more levels of association between information and a solution concept classified into two or more types in advance, by referring to the degree of association , the text information extracted by the mining means partially matches or Search text information for partial matching and search means for searching for and outputting any one or more solution concepts having a high degree of association are provided.

According to a second aspect of the present invention, there is provided the problem solving support system according to the first aspect of the invention, wherein the search means includes three or more levels of relevance between the reference text information and two or more types of problem situations previously classified. and previously obtained three or more stages association degree between the status and the solving concept above problem, by referring to the respective linkage degree, characterized by searching the any one or more resolution concept.

  The problem solving support system according to claim 3 is the invention according to claim 1 or 2, wherein the mining means is text data relating to a newly created work based on the solution concept searched by the searching means. Accompanying idea information and business operator information as text data related to information on other business operators are acquired, and the similarity between the text information and the business operator information is calculated and output.

  The problem solving support system according to claim 4 is the invention according to any one of claims 1 to 3, wherein the mining means or the search means is controlled by artificial intelligence.

  The problem solving support system according to claim 5 is the invention according to claim 3 or 4, wherein the search means further searches for a solution concept by referring to the analysis result of the similarity or the acquired operator information. It is characterized by.

  The problem solving support system according to claim 6 is the invention according to claim 1 or 2, wherein the search means obtains business operator information in which information of other business operators is described, and refers to this information. It is characterized by performing a search.

  The problem solving support system according to claim 7 is the invention according to claim 3 or 4, wherein the mining means calculates the similarity based on information on a newly created artificial product. And

The problem-solving support system according to claim 8 is the invention according to any one of claims 1 to 7, wherein the search means inputs the adopted information of the output solution concept when it is inputted. It is updated by reflecting it in three or more levels of association with the solution concept.

The problem-solving support system according to claim 9 is the invention according to any one of claims 1 to 8, wherein the search means uses the analysis result of the similarity to the degree of relevance in three or more stages with the solution concept. It is characterized in that it is updated by reflecting it in.

  The problem-solving support system according to claim 10 is characterized in that, in the invention according to any one of claims 1 to 9, the solution concept to be selected is adjusted based on the input constraint condition.

The problem solving support method according to claim 11 reflects a mining step of extracting text information from electronic data in which information on a newly created creation is created by a problem solving support system, and information on the creation. reference and text information, as well as previously acquired three or more stages association degree and resolution concept classified in advance two or more by referring to the association degree, the text information extracted by said mining means And a reference text information partially matching or partially matching, and a search step of searching and outputting any one or more solution concepts having a high degree of association by a problem solving support system .

The problem-solving support program according to claim 12, wherein a mining step of extracting text information from electronic data in which information on a newly created creation is described,
The mining means described above is obtained by obtaining in advance three or more levels of association between reference text information reflecting information relating to creation and a solution concept previously classified into two or more types, and by referring to the association degree. The computer is caused to execute a search step for searching and outputting any one or more solution concepts having a high degree of association with reference text information that partially or partially matches the text information extracted by the above.

  According to the present invention having the above-described configuration, it is possible to immediately select a solution concept corresponding to the character string obtained by analyzing the basic information of the seeds and output the solution concept.

  In addition to this, according to the present invention, the user or the client can understand which operator's business suits each incidental idea by grasping the output similarity for each business operator. Is possible. As a result, the user or client can understand that there is a particular need for an operator with a high degree of similarity of incidental ideas. That is, the user or the client can understand that the incidental idea has only to be sold to a business operator having a high degree of similarity.

It is a figure which shows the structural example of the problem-solving assistance system to which this invention is applied. It is a figure which shows the block structure of an electronic device. It is a figure which shows the consulting business in which the problem-solving support program to which this invention is applied is used. It is a flowchart of the processing operation of the problem solving support program to which the present invention is applied. It is a schematic diagram which shows the relationship between a problem situation and the abstracted solution concept. It is another figure regarding the consulting business in which the problem-solving support program to which this invention is applied is used. It is a figure which shows the example which considers the acquired provider information in the step which searches for a search solution based on the basic basic information of seeds. It is a figure which shows the example which refers also to the basic information of seeds, when calculating a similarity. It is a figure which shows the example which inputs a constraint condition on the user side via an operation part.

  Hereinafter, a problem solving support system to which the present invention is applied will be described in detail with reference to the drawings.

  A problem solving support system 1 to which the present invention is applied is embodied by a configuration as shown in FIG. 1, for example. The problem solving support system 1 includes an electronic device 11 for a user who uses a system such as a PC, and a server 13 connected to the electronic device 11 via a public communication network 12. .

  The public communication network 12 is an Internet network or the like in which the electronic devices 11 and the server 13 are connected via a communication line. Incidentally, when the electronic device 11 is operated in a certain narrow area, the public communication network 12 may be configured by a LAN (Local Area Network). The public communication network 12 may be a so-called optical fiber communication network. The public communication network 12 is not limited to a wired communication network, and may be realized by a wireless communication network.

  The electronic device 11 is, for example, a personal computer (PC), a mobile phone, a smartphone, a tablet terminal, a wearable terminal, or the like, and is a device that can communicate via the public communication network 12 based on at least a user operation. The electronic device 11 communicates via the public communication network 12 when installing package software sold at a store without downloading a problem solving support program to be described later via the public communication network 12. It may be a device that does not perform. In the following example, a case where a PC is applied to the electronic device 11 will be described as an example.

  FIG. 2 shows a specific configuration example of the electronic device 11. The electronic device 11 includes a ROM (Read Only Memory) 22, a RAM (Random Access Memory) 23 as a work area used for storing and developing data, and a CPU (Central Processing) for controlling the entire electronic device 11. Unit) 24, an operation unit 25 for inputting various control commands via operation buttons, a keyboard, and the like, an output I / F 16 for controlling display of various information, a hard disk, etc. A storage unit 27 for storing a program for performing a search to be performed, and a data input / output unit for inputting data from the outside into the electronic device 11 or outputting data generated in the electronic device 11 to the outside 29 are connected to the internal bus 21, respectively. Further, a communication I / F 28 is connected to the internal bus 21. The output I / F 16 is connected to a display unit 26 as a monitor that actually displays information.

  The ROM 22 stores a program for controlling hardware resources of the entire electronic device 11. The RAM 23 temporarily stores various instructions for controlling the hardware resources of the entire electronic device 11.

  The CPU 24 is a so-called central processing unit for controlling each component mounted in the electronic device 11 by transmitting a control signal via the internal bus 21. Further, the CPU 24 transmits various control commands via the internal bus 21 in accordance with user operations via the operation unit 25.

  The operation unit 25 is embodied by a mouse, a keyboard, a touch panel, or the like, and inputs information about a problem that the user actually wants to solve, and an execution command for executing a problem solving support program is input from the user. When the execution command is input by the user, the operation unit 25 notifies the CPU 24 of this. Upon receiving this notification, the CPU 24 reads the program from the storage unit 27 and executes it.

  The output I / F 16 is configured by a graphic controller that creates a display image based on control by the CPU 24. The display unit 26 connected to the output I / F 16 is realized by, for example, a liquid crystal display (LCD).

  When the storage unit 27 is composed of a hard disk, based on control by the CPU 24, predetermined information is written to each address and read out as necessary. The storage unit 27 stores a problem solving support program for executing the present invention. This program is read by the CPU 24 and executed.

  The communication I / F 28 is mounted with a line control circuit for connecting to the public communication network 12, a signal conversion circuit for performing data communication with other terminal devices, and the like. The communication I / F 28 converts various commands from the internal bus 21 and sends them to the public communication network 12 side. When data is received from the public communication network 12, the communication I / F 28 performs predetermined conversion processing on the received data. To the internal bus 21 or the CPU 24.

  The data input / output unit 29 is configured as an interface for inputting data to / from a USB (Universal Serial Bus) memory or a recording medium.

  A predetermined database is constructed in the server 13. Information sent via the public communication network 12 is stored in this database. Further, the server 13 transmits the accumulated information to the electronic device 11 through the public communication network 12 based on a request from the electronic device 11.

  The problem solving support system 1 to which the present invention is applied is executed via a problem solving support program installed in the electronic device 11. That is, the user operates the electronic device 11 and solves various problems through the problem solving support program installed therein. This problem solving support program is used when the user performs the consulting work shown in FIG.

  In the consulting work, it supports the creation of an incidental idea 42 as a modified form based on the seed 41 of the created idea.

  The seeds 41 of ideas are newly created artificially created products, not only so-called legal inventions, but also devised, know-how, designs, etc., and all created as a result of human creative activities It corresponds to a thing. In the following example, a case where the invention is created as the seeds 41 will be described as an example. The entity that creates the seeds 41 corresponds to the client if the user is a consultant. The client analyzes the market and develops ideas to meet the needs after developing the market. The original idea created by the client corresponds to the seeds 41 described above.

  A user as a consultant listens to the contents of the seeds 41 from a client. The consultant analyzes the seeds 41 and deeply understands the seeds 41 from various viewpoints. Then, the consultant performs the work of formalizing the seeds 41 and the situation surrounding the seeds 41. In this formalization work, in addition to the structure and main concept of the seeds 41, the social needs and problems behind the seeds 41, the conventional technology proposed before the seeds 41, the seeds 41 themselves However, all the problems, effects, etc. to be solved will be expressed by sentences and character strings that can be converted into text data. Such formalized seeds 41 and the situation surrounding them are hereinafter referred to as basic information.

  Next, the user inputs this basic information into the electronic device 11 in which the problem solving support program is actually installed. The basic information may be input by the user himself / herself directly inputting text data via the operation unit 25, or the basic information text data created in another electronic device 11 may be stored in a USB memory or the like. The data may be input from the data input / output unit 29. The text data created by the user in the other electronic device 11 may be transmitted via the public communication network 12 to the electronic device 11 in which the problem solving support program is actually installed.

  The text data (character string) of the basic information transmitted or input in this way is stored in the storage unit 27.

  After the basic information is input in this way, the problem solving support program actually executes the processing operation. The processing operation flow of this problem solving support program is shown in FIG.

  The problem solving support program analyzes the text data of the basic information input in step S11 (step S12). For this analysis, any existing text mining technology, data mining technology, language analysis processing technology, or the like may be used.

  Next, the problem solving support program extracts a character string from the analyzed text data in any one or more units among all grammatical structural units such as words, morphemes, phrases, and clauses. For example, “For a patent specification analysis display device capable of counting and displaying the degree of limitation of the invention defined in the claims of the patent specification, the degree of limitation of the invention is displayed with higher accuracy. If there is text data such as “Purpose”, “Patent specification”, “Claims”, “Definition”, “Invention”, “Limitation degree”, “Count”, “Display”, Character strings such as “patent specification analysis display device”, “with high accuracy”, “target”, and the like are extracted.

  Next, the problem solving support program moves to step S13, and starts searching for a solution concept that is highly related to the problem situation. Before performing this search, the electronic device 11 acquires in advance the association between the problem situation as shown in FIG. 5 and an abstract solution concept (hereinafter referred to as a solution concept). The problem situations a11, b11, c11, b21, b21, c21,... Are defined in advance on the system side. This problem situation corresponds to all matters relating to the problem situation of the invention, for example, a solution problem or problem to the invention, a point to be improved, for example, “I want to reduce weight”, “Noise reduction”, “Improving headache” , “Collision prevention”, “convenient to carry”, “miniaturization”, “usability”, “energy saving”, “productivity”, “heat resistance”, “security”, “speeding up”, etc. Incidentally, this problem situation may be defined not only as a characteristic to be improved but also as a property that deteriorates (deteriorates) on the other hand.

  The solution concept for such a problem situation is an abstracted concept for solving the problem situation. The solution concepts A1, A2, A3, B1, B2, B3, C1, C2, C3,... Are defined in advance on the system side. This solution concept is a concept that includes all known problem-solving methods such as equivalent transformation theory, TRIZ (including classical TRIZ as well as any advanced TRIZ), ARIZ, QFD, Taguchi method, etc. . Examples of this solution concept include, for example, the 40 principles of classical TRIZ, segmentation (subdivision), asymmetry, reverse (reverse), dynamics, feedback, nesting structure, preemption action, It is equivalent to isotropy, mechanical vibration, conversion of harm into profits (turning into disaster and making fortune).

  The electronic device 11 acquires the association indicating the degree to which the problem situation and the solution concept are related to each other. As a method of expressing this association, for example, a problem situation and a solution concept connected by an arrow as shown in FIG. 5 are linked to each other, and a problem situation and a solution concept that are not linked by an arrow are linked to each other. You may make it express with the form which is not. For example, the solution concept A2 may be expressed in the form of being linked to the problem situations c11 and a21 but not linked to other solution concepts. In other words, in this case, the presence / absence of the linkage between the problem situation and the solution concept is digitally expressed by a binary value of true or false.

  An analog expression method may be adopted as a method for expressing other associations. For example, the solution concept B3 is linked to the problem situations a21 and b21 at a rate of 80%, the problem situation c11 is 60%, the problem situation b11 is 45%, the problem situation c21 is 24%, and the problem situation a11 is 0. It may be expressed as an association degree such as%. For example, when the problem situation is “strength” as the characteristic to be improved and “weight” as the characteristic that deteriorates, the segmentation (subdivision) May be expressed.

  The electronic device 11 stores the association between the problem situation and the solution concept in its storage unit 27 or the like before the analysis in step S13 so that it can be read out at any time. At this time, if the association between the problem situation and the solution concept is not stored in its own storage unit 27, it is stored in the server 13, and this server 13 is accessed when actually executing step S 13. You may make it perform.

  After shifting to step S13, the problem solving support program first performs an operation of selecting one or more problem situations from the character string extracted from the basic information analyzed in step S12.

  For the selection of the problem situation from the character string extracted from the basic information, the concept of the association between the character string and the problem situation may be used. For example, if the problem situation is the above-mentioned improvement of “strength”, the character strings “fragile”, “easy to break”, “easy to bend”, “fragile” are highly related to the improvement of “strength”. ”,“ Weak ”,“ strong ”,“ strong ”,“ cracked ”,“ crack ”, etc., and reference text information consisting of words, phrases, etc. relating to improvement of“ strength ”is registered in advance. Then, it is determined whether or not the character string constituting the problem situation is applicable to the reference text information related to the improvement of “strength” registered in advance. This determination may be based on either complete matching or partial matching between the character string and the pre-registered reference text information. As a result, when the character string that constitutes the problem situation applies to the reference text information related to the improvement of the “strength” registered in advance, it is determined that the problem situation of the seed 41 is the improvement of the “strength”. can do. On the other hand, if the character string that constitutes the problem situation does not correspond to the pre-registered text information for improvement related to “strength”, it is determined that the problem situation of the seeds 41 is not improvement of “strength”. be able to.

  In this way, the problem solving support program discriminates a problem situation that is more related to the analyzed basic information through the reference text information and performs an operation of selecting it. Such an operation is performed not only for one problem situation but also for a plurality of other problem situations. As a result, the seeds 41 may be selected not only as a single problem situation but also as being highly related to a plurality of problem situations.

  A method of determining a problem situation that is more related to the analyzed basic information is not limited to the method described above. For example, the association degree may be set in advance between the problem situation and the reference text information. In such a case, 65% for “easy to break”, 54% for “easy to break”, 37% for “cracked”, etc., the degree of association between the reference text information and the problem situation is set in advance. . If the character string and the pre-registered reference text information match completely or partially as a result of the determination, the problem status of the seed 41 is the degree of the degree of association with respect to the “strength” improvement. You may make it judge that it is linked. Then, a problem situation in which the degree of association is equal to or greater than a predetermined threshold may be selected as having high association with the seeds 41. Further, the degree of association between the basic information and the problem situation may be referred to when selecting a solution concept.

  In this manner, one or more problem situations with high association can be selected from the character string obtained by analyzing the basic information of the seeds 41 via the reference text information. Since the relationship between the problem situation and the solution concept is stored in advance, it is possible to search and select a solution concept that is highly related to the selected problem situation by referring to the relationship. . If the relationship between the problem situation and the solution concept is related based on the association degree, a solution concept whose association degree exceeds a predetermined threshold may be selected, or the order of the association degree is high, You may make it display by sorting in a low order.

  That is, the problem solving support program can immediately select a solution concept corresponding to the character string obtained by analyzing the basic information of the seeds 41 and output it. The output of the solution concept may be displayed on the display unit 26 via the output I / F 16, or may be stored in a USB memory or the like via the data input / output unit 29. The output of the solution concept may be stored in the server 13 from the public communication network 12 via the communication I / F 28 or may be transmitted to another electronic device 11.

  In the present invention, as shown in FIG. 5, the association between the reference text information and the problem situation is set in advance, and the association between the problem situation and the solution concept is preset. In other words, it can be said that the reference text information is also related to the solution concept by mediating the problem situation. For this reason, in the present invention, the association between the reference text information and the solution concept may be set directly. In such a case, the character string obtained by analyzing the basic information of the seeds 41 is applied to the reference text information, and a solution concept that is highly related to the applied reference text information may be selected. Good.

  Using the solution concept output in this way as a hint, the user develops his / her own creativity, delves into the surrounding deformation forms based on the seeds 41, and develops an accompanying idea 42 Will go. After the accompanying idea 42 is born in this way, the operation phase moves to the work phase shown in FIG.

  The user as a consultant analyzes the incidental idea 42 created in this way, and understands it deeply from various viewpoints, and then formalizes the incidental idea 42 and the situation surrounding it. I do. In this formalization work, in addition to the structure and main concept of the incidental idea 42, the social needs, problems, seeds 41, and incidental idea 42 behind the incidental idea 42 are further improved. In addition, the prior art proposed previously, the problems that the accompanying idea 42 itself intends to solve, the operational effects, etc. will all be expressed in sentences and character strings that can be converted into text data. . Such a formalized incidental idea 42 and the situation surrounding it are hereinafter referred to as incidental idea information.

  Next, the user inputs this accompanying idea information into the electronic device 11 in which the problem solving support program is actually installed (step S14). For the input of the accompanying idea information, the user himself / herself may directly input the text data through the operation unit 25, or the text data of the accompanying idea information created in the other electronic device 11 is stored in a USB memory or the like. The data may be input from the data input / output unit 29. The text data of the accompanying idea information created by the user in the other electronic device 11 may be transmitted via the public communication network 12 to the electronic device 11 in which the problem solving support program is actually installed.

  The text data of the accompanying idea information transmitted or input in this way is stored in the storage unit 27.

  The problem solving support program moves to step S15 and analyzes the text data of the accompanying idea information as shown in FIG. For this analysis, any existing text mining technology, data mining technology, language analysis processing technology, or the like may be used.

  Next, the problem solving support program extracts a character string from the analyzed text data in any one or more units among all grammatical structural units such as words, morphemes, phrases, and clauses. A specific method for extracting the character string is the same as in step S12.

  Next, the problem solving support program moves to step S16, and obtains text data relating to information of another business operator. The information on the other business here is patent information, business information, management information, business information, etc. of a company different from the client (hereinafter collectively referred to as business information). Such company information may be acquired from a website on which, for example, a patent publication is published, or may be acquired from a website on which information on the company is described. The business operator information may be acquired from text data described in an electronic book or an electronic magazine, or text data stored in a purchased recording medium. Further, the business operator information may be text data manually input by the user himself / herself or others, or may be obtained by any other method.

  The problem solving support program proceeds to step S17 and similarly analyzes text data using the text mining technique for the business operator information. For this analysis, any existing text mining technology, data mining technology, language analysis processing technology, or the like may be used. Also in step S17, the problem solving support program extracts a character string from the analyzed text data in any one or more units among all grammatical structural units such as words, morphemes, phrases, and clauses. A specific method for extracting the character string is the same as in step S12. This company information may be acquired and analyzed not only for one company but also for a plurality of companies.

  Next, the process proceeds to step S18, and the problem solving support program compares the character string of the accompanying idea information and the character string of the company information obtained in this way, and calculates the degree of similarity between them. This calculation of similarity is based on the number of partially matched character strings, the number of completely matched character strings, and the partially matched character string between the accompanying idea information character string and the operator information character string. Calculation is based on the number of receivers, the number of completely matching dependencies, etc. At this time, a concept dictionary or the like may be referred to as necessary. It may be possible to freely change which item is weighted on the user side or the system side.

  The problem solving support program seeks the degree of similarity between the character string of the accompanying idea information and the character string of the business operator information. As a result, the similarity is calculated for each company, such as Company A: 27%, Company B: 74%, Company C: 58%, Company D: 40%,.

  The problem solving support program may display the obtained similarity calculation result on the display unit 26 via the output I / F 16 or store it in a USB memory or the like via the data input / output unit 29. It may be. The output of the solution concept may be stored in the server 13 from the public communication network 12 via the communication I / F 28, or may be transmitted to another electronic device 11. In addition, the problem solving support program outputs not only the similarity calculation results, but also businesses with similarities that are above or below a predetermined threshold, and businesses from the top or bottom of the similarity to the predetermined rank. Also good.

  The user or the client can understand which operator's business suits each accompanying idea 42 by grasping the output similarity for each business operator. As a result, the user or the client can understand that the incidental idea 42 has a particular need in a business operator with a high degree of similarity. That is, the user or the client can understand that the accompanying idea 42 should be sold to a business operator having a high degree of similarity.

  On the other hand, as a matter of course, the user or the client may not only raise a business with a high degree of similarity but also arouse a new need to a business with a low degree of similarity. In such a case, although the sales strategy of the client is different, it is possible to take this similarity into consideration when considering which strategy to sell.

  The problem solving support program executes the above-described flow from step S15 to step S18 for not only the character string of one accompanying idea information but also all other accompanying ideas 42. As a result, it is possible to obtain the degree of similarity with other operators for all the incidental ideas 42. As a result, the user or the client can examine not only one incidental idea 42 but also all the incidental ideas 42, respectively, a technology sales destination and a marketing strategy.

  The present invention is not limited to the above-described embodiment. Information on the calculated similarity may be fed back to the processing flow in step S13 to search for a further solution concept.

  For example, for a business operator whose similarity is lower than a predetermined threshold value or a business operator whose business level is higher than a predetermined threshold value, a character string obtained by analyzing the business operator information is extracted. This character string is compared with the reference text information, and the reference text information matching this is specified. Then, based on the above-described step S13, a problem situation highly related to the identified reference text information, and thus a solution concept highly related to the problem situation is searched for and output. As a result, the user can search for a solution concept based on the provider information. In particular, since this business operator information may correspond to market needs, it is possible to search for a solution concept based on market needs.

  That is, according to the present invention, it is possible to search for a solution concept based not only on the seeds 41 of the technology but also on the needs of the market. In other words, it is possible to support not only seeds-first innovation but also needs-first innovation. In this embodiment, the search for the solution concept via the reference text information may be performed according to any rule as long as it is based on the calculated similarity.

  Further, according to the present invention, both basic information and business operator information may be taken in and a solution concept may be searched. In this case, the search for the solution concept based on the relevance via the reference text information is the same as described above. In particular, when both basic information and business operator information are taken in, it is possible to weight which information is weighted. If the basic information: business operator information is weighted at a ratio of 2: 1, either or both of the degree of association between the reference text information and the problem situation, the degree of association between the problem situation and the solution concept, The basic information may be evaluated twice as much as the business information. As a result, it is possible to search for a solution concept that emphasizes more basic information.

  In addition, the link between the reference text information and the problem status, the link between the problem status and the solution concept, and the link between the reference text information and the solution concept may be changed based on the calculated similarity. Good. For example, when the percentage of businesses with a similarity equal to or greater than a predetermined value is relatively small, the one with the higher association between the two is lowered by -10 points, the one with the lower association between the two is raised by 10 points, etc. May be adjusted. If these linkages are expressed only by the true / false of the linkage, set true to false and set the combination with high selectivity among false in the conventional analysis. You may try again. By making these setting changes, it is more likely that a different solution concept will be selected, and as a result, there is a higher possibility that the user will have an accompanying idea 42 that is different from the previous one. However, there is a possibility that the degree of similarity with the operator will be high. By making such a setting change of association, an accompanying idea 42 having a high degree of similarity with the business operator information is likely to appear.

  In addition, the relationship between the reference text information and the problem status, the relationship between the problem status and the solution concept, and the relationship between the reference text information and the solution concept are considered in addition to the similarity, as well as the acquired company information itself. Thus, the setting may be changed as appropriate. In such a case, for reference text information that has a high degree of matching with the character string extracted from the analyzed provider information, the setting is changed by increasing the degree of association with the problem situation by several points or conversely by decreasing the number of points. You may make it do. Furthermore, returning to step S13, searching for a solution concept based on basic information increases the possibility of searching for a solution concept that better meets the needs of the market.

  In the example of FIG. 7, the acquired business operator information is taken into consideration at the stage of searching for the search solution based on the basic information of the initial seeds 41 before calculating the similarity with other business operators. In such a case, for the reference text information having a high degree of coincidence with the character string extracted from the business operator information acquired in advance, the degree of association with the problem situation may be adjusted. Further, it is also possible to search for a problem situation highly related to the reference text information having a high degree of coincidence with the character string extracted from the acquired business operator information, and thus a solution concept highly related to the problem situation. Further, as described above, both basic information and business operator information may be taken in and a solution concept may be searched. In such a case, when both basic information and business operator information are captured, weighting as to which information is to be weighted may be performed as described above.

  Further, according to the present invention, when calculating the similarity in step S18, the basic information of the seeds 41 may be further referred to as shown in FIG. In such a case, between the character string obtained by analyzing the basic information and the character string of the operator information, the number of partially matching character strings, the number of completely matching character strings, The number of modification matches and the number of modification matches are also reflected in the similarity calculation. At this time, which of the similarity between the character string of the basic information and the character string of the operator information and the similarity of the character string of the accompanying idea information and the character string of the operator information is given priority, which is weighted? Can be set freely. At this time, it is also possible to extract the basic information that particularly mentions the solution problem and analyze it by text mining. Actually, in the basic information that the user has formalized, create a rule in advance in what column to describe the solution issue, search that column, and then describe the solution issue in the column as text data It will be extracted and analyzed.

  In addition, according to this invention, you may make it input which solution concept the user employ | adopted among the some solution concept output. When the adoption information of such a solution concept is input, the problem solving support program will link the adoption information with the above-described reference text information and the problem situation, the association between the problem situation and the solution concept, and the reference. May be reflected in the relationship between the text information for use and the solution concept. That is, for the problem situation and reference text information highly related to the adopted solution concept, the degree of association may be further increased by several points. Of the output solution concepts, those not included in this selection information are concepts that are unlikely to be actually adopted by the user. For text information, the degree of association may be further lowered by several points.

  In the present invention, in step S13, the basic information may be extracted from the basic information, particularly any one of the problem to be solved, the solution means, and the action effect, and analyzed by text mining. Actually, in the basic information that is formalized by the user, in which column the problem to be solved, the solution, and the action and effect are described in advance, a rule is created in advance, and the problem in the column is searched after searching that column. Will be extracted as text data and analyzed. Then, a solution concept with a high degree of association may be searched for using reference text data using any one or more of these solution problems, solution means, and effect analysis results. As a result, the reference text information specialized in one or more of these solution problems, solution means, and operational effects is selected and a solution concept is searched.

  Further, at this time, as shown in FIG. 9, the constraint condition may be input via the operation unit 25 on the user side. This constraint condition places certain constraints on the solution concept to be selected, such as not selecting a solution concept that requires high cost, or not selecting a solution concept that consumes a large amount of energy. The problem solving support program defines the types of constraint conditions in advance, and arranges the solution concept in accordance with this. When a constraint condition is input from the user side, control is performed so that a solution concept under the input constraint condition is not selected. That is, according to the problem solving support program, the solution concept to be selected may be adjusted based on the input constraint condition.

  In the present invention, the search result of these search solutions, the calculation result of similarity with the business operator, and the like may be stored in the server 13. Each electronic device 11 accesses the server 13 in which past results are accumulated via the public communication network 12 and can refer to them.

  Furthermore, in the present invention, any one or more of the processes described above, or all processes may be performed via artificial intelligence. The specific application method of artificial intelligence to the present invention may be based on any one or more of all known information related to artificial intelligence.

1 Problem Solving Support System 11 Electronic Equipment 12 Public Communication Network 13 Server 21 Internal Bus 22 ROM
23 RAM
24 CPU
25 Operation unit 26 Display unit 27 Storage unit 29 Data input / output unit 41 Seeds 42 Ancillary ideas

Claims (12)

A mining means for extracting text information from electronic data in which information on a newly created artificial creation is described;
The mining means described above is obtained by obtaining in advance three or more levels of association between reference text information reflecting information relating to creation and a solution concept previously classified into two or more types, and by referring to the association degree. And a search means for searching for and outputting any one or more solution concepts having a high degree of association with reference text information that partially or partially matches the text information extracted by . The search means, and the reference text information, three or more stages of association degree between typified Issues situation in advance in two or more, as well as three or more stages of association degree between the status and the solving concept above problems previously The problem solving support system according to claim 1, wherein the problem solving support system searches for any one or more of the solution concepts by acquiring and referring to each association degree . The mining means includes incidental idea information as text data relating to a newly created product based on the solution concept searched by the searching means, and business operator information as text data relating to information of another business operator. The problem solving support system according to claim 1, wherein the problem solving support system is obtained, and calculates and outputs a similarity between the text information and the business operator information. The problem solving support system according to any one of claims 1 to 3, wherein the mining means or the search means is controlled by artificial intelligence. 5. The problem solving support system according to claim 3, wherein the searching means further searches for a solution concept by referring to the analysis result of the similarity or the acquired business operator information. The problem solving support system according to claim 1 or 2, wherein the search means performs search by acquiring operator information in which information of another operator is described and referring to the information. The problem solving support system according to claim 3 or 4, wherein the mining means calculates the similarity based on information on a newly created artificial product. The search means, when input information on the output of the solution concept is inputted, is updated by reflecting it in three or more levels of association with the solution concept. 7. The problem solving support system according to any one of items 7. The problem solving method according to any one of claims 1 to 8, wherein the search means updates the analysis result of the similarity by reflecting the degree of association with the solution concept in three or more stages. Support system. The problem solving support system according to any one of claims 1 to 9, wherein a solution concept to be selected is adjusted based on an input constraint condition. A mining step of extracting text information from electronic data in which information on a newly created creation is described by a problem solving support system ;
The mining means described above is obtained by obtaining in advance three or more levels of association between reference text information reflecting information relating to creation and a solution concept previously classified into two or more types, and by referring to the association degree. and characterized in that it has a search step and outputting the searched by the extracted text information and a portion matching or partial matching reference text information with high association degree any one or more of solving concept problem solving support system by Problem solving support method. A mining step for extracting text information from electronic data describing information on a newly created artificially created product;
The mining means described above is obtained by obtaining in advance three or more levels of association between reference text information reflecting information relating to creation and a solution concept previously classified into two or more types, and by referring to the association degree. A problem of causing a computer to execute a search step for searching and outputting any one or more solution concepts having a high degree of association with reference text information that partially or partially matches text information extracted by Solution support program.

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