JP6614501B2 - Creation support program - Google Patents

Description

  The present invention relates to a creation support program and system suitable for supporting creation of creations.

  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 particular, such innovations can be born not only from large corporations, but also from small and medium enterprises and by extension, individual inventors. In the process of creating this innovation, there are problems that become obstacles to meeting the demands from the market, and it is often created by clearing those problems. By using the solution concept to clear this problem as a hint, innovation by innovators will be realized. On the other hand, it is possible to support the creation of innovation by innovators by effectively presenting specific examples that reflect the optimal solution concept for solving the problems.

  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, there is a problem in that it is not always possible to effectively present a solution concept to an innovator, and innovation creation support cannot be realized.

  Therefore, the present invention has been devised in view of the above-described problems, and the object of the present invention is to effectively present a specific example reflecting the solution concept to the creator. An object is to provide a creation support program and system suitable for supporting creation.

  The creation support program according to the present invention includes an information acquisition step for acquiring information on a creation to be newly created, combinations of two or more reference character strings acquired in advance, and specific examples classified into two or more types One or more specific examples based on three or more levels of association between the combination of two or more reference character strings corresponding to the information acquired in the information acquisition step and the above specific example And a search step for searching for a computer.

  The creation support program according to the present invention has an information input step for accepting input of information on a creation to be newly created, a combination of two or more reference character strings, and three or more levels of relevance. And a search step for searching for one or more specific examples based on three or more levels of association between the combination of two or more reference character strings according to the information input in the information input step and the specific examples. The computer is executed.

  The creation support system according to the present invention includes information acquisition means for acquiring information on a creation to be newly created, combinations of two or more reference character strings acquired in advance, and specific examples classified into two or more types 1 or more specifics based on three or more levels of association between the combination of two or more reference character strings corresponding to the information acquired by the information acquisition means and the above specific example. And a search means for searching for an example.

  The creation support system according to the present invention has an information input means for accepting input of information on a creation to be newly created, a combination of two or more reference character strings, and a degree of relevance at three or more levels. Search means for searching for one or more specific examples based on three or more levels of association between the combination of two or more reference character strings according to the information input by the information input means and the specific examples. It is characterized by providing.

  According to the present invention having the above-described configuration, it is possible to support creation of an innovation by effectively presenting a concrete example in which a solution concept is reflected to a creator.

It is a figure which shows the structural example of the creation 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 creation assistance program to which this invention is applied is used. It is a flowchart of the processing operation of the creation support program to which the present invention is applied. It is a schematic diagram which shows the connection of the abstracted solution concept. It is a figure which shows the example which refers the correlation with each solution concept with respect to the combination between several character strings for a reference. It is a flowchart which shows the processing operation of the creation assistance program in 2nd Embodiment. It is a figure which shows the example which expressed the presence or absence of the correlation of the reference character string and a specific example digitally with the binary of true or false. It is a figure which shows the example which refers the association with each specific example with respect to the combination between several reference character strings. It is a figure which shows the example which refers the relevance (relationship of 3 steps | paragraphs or more) of the solution concept acquired in advance, and a specific example. It is a figure which shows the example which refers the 3 or more steps of relevance of the combination of one or more reference character strings and one or more solution concepts, and the specific example classified into 2 or more types.

  Hereinafter, a creation support system used to embody a creation support program to which the present invention is applied will be described in detail with reference to the drawings.

  The creation support system 1 to which the present invention is applied is embodied by a configuration as shown in FIG. 1, for example. The creation support system 1 includes a terminal 11 for a user who uses the system, and a server 13 connected to the terminal 11 via a public communication network 12.

  The public communication network 12 is an Internet network or the like that connects the terminals 11 and the server 13 via a communication line. Incidentally, when the terminal 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 terminal 11 is, for example, a mobile phone, a smartphone, a tablet terminal, a wearable terminal, a notebook personal computer (PC), or the like, and is a device that can communicate via the public communication network 12 based on at least a user operation. . The terminal 11 may be a device that can be carried by the user at all times, and is not limited to this, and is a concept that includes all electronic devices such as a desktop PC. is there.

  The terminal 11 performs communication via the public communication network 12 when installing package software sold at a store without downloading a creation support program described later via the public communication network 12. There may be no equipment. In the following example, a case where a smartphone is applied to the terminal 11 will be described as an example.

  FIG. 2 shows a specific configuration example of the terminal 11. The terminal 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 Unit) for controlling the entire terminal 11. 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, and the like. A storage unit 27 for storing a program for performing a search and a data input / output unit 29 for inputting data from the outside into the terminal 11 or outputting data generated in the terminal 11 to the outside 21 is connected to each. Further, a communication I / F 28 and a voice input unit 31 are 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 terminal 11. The RAM 23 temporarily stores various instructions for controlling the hardware resources of the entire terminal 11.

  The CPU 24 is a so-called central processing unit for controlling each component mounted in the terminal 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 touch panel or the like, and information related to a problem that the user wants to solve is input, and an execution command for executing the creation 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 creation 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 connected to a cord or the like for USB connection with an electronic device such as a PC. Data can be input / output to / from an external device via the data input / output unit 29.

  The voice input unit 31 is a device for converting voice input from a user into electronic data.

  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 terminal 11 via the public communication network 12 based on a request from the terminal 11.

  Note that any one or more components in the terminal 11 or the server 13 may be controlled by 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.

First Embodiment The creation support system 1 to which the present invention is applied is executed via a creation support program installed in the terminal 11. That is, the user operates the terminal 11 and solves various problems through the creation support program installed therein. As shown in FIG. 3, this creation support program is used as support software for a user to create a new invention or innovation as a creator. The creation support program is not limited to the case where it is installed on the terminal 11 and used. The creation support program is stored in the server 13 and accessed from the terminal 11 each time it is used. Of course, it is also good.

  The innovation creation process starts when the user inputs information about a newly created creation.

  Examples of information entered by this user include social needs, problems, previously proposed prior art, issues to be solved, composition of newly created inventions, seeds of ideas, idea concepts, Actions and effects are all expressed in sentences, character strings, languages, etc. that can be converted into text data. Information input from the user in this way is hereinafter referred to as basic information.

  The user manually inputs the basic information through the operation unit 25 in the terminal 11 or inputs the basic information by voice through the voice input unit 31. In this input, basic information created in another terminal 11 or an electronic device such as a PC may be input from the data input / output unit 29. Further, text data created by the user in another terminal 11 or an electronic device such as a PC may be transmitted via the public communication network 12 to the terminal 11 where the creation support program is actually installed. Further, the basic information may be one in which the entire system 1 automatically accesses the public communication network 12 and takes in the basic information except when the user inputs the basic information.

  The basic information transmitted or input in this way is stored in the storage unit 27.

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

  The creation support program analyzes 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, this creation support program extracts character strings of basic information to be analyzed from any one of grammatical structural units, such as words, morphemes, phrases, and clauses, in one or more units. 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.

  Alternatively, the basic information may be input as keywords or words in pieces. For example, if “pet pet wipe” is input, the character strings “pet” and “butt wipe” can be extracted. In addition to the concept and configuration of the invention, the basic information may include a problem to be solved. For example, when “cheap and easy to make” is entered, by analyzing this by text mining, the structure in grammar like “cheap”, “cheap”, “make”, “easy to make”, etc. Character strings are extracted from one unit over one or more units.

  Next, the creation support program moves to step S13, and starts searching for a solution concept that is highly related to the character string extracted in step S12. Prior to this search, the terminal 11 obtains in advance an association between a reference character string and an abstract solution concept (hereinafter referred to as a solution concept) classified into two or more types as shown in FIG. Keep it.

  The solution concept is an abstracted concept for solving a problem. 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. . As an example of this solution concept, for example, if the 40 inventive principles of classic TRIZ are taken as an example, segmentation (subdivision), asymmetry, reverse (reverse), dynamicity, feedback, nested structure, preemption action, It is equivalent to isotropy, mechanical vibration, conversion of harm into profits (turning into disaster and making fortune).

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

  As another method of expressing the association, this association may be expressed through three or more levels of association. For example, the solution concept B3 is associated with the reference character strings a21 and b21 at a rate of 80%, the reference character string c11 is 60%, the reference character string b11 is 45%, and the reference character string c21 is 24%, the reference character string a11 may be expressed as an association degree such as 0%. For example, as reference character strings, for “strength” and “weight”, segmentation (subdivision) may be expressed as a solution concept with an association degree of 80%. When the characteristic to be improved is “strength” and the characteristic to be deteriorated is “weight” in the principle of 40 inventions of classic TRIZ, segmentation (subdivision) has been conventionally used as a solution concept. This is because it has been advocated.

  When the reference character string is “wipe ass”, as a solution concept, the relevance of the “disposable” solution concept such as toilet paper may be set as high as 90%. Good.

  Before the analysis in step S13, the terminal 11 stores the association between the reference character string and the solution concept in its storage unit 27 or the like so that it can be read out at any time. At this time, if the association between the reference character string 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 S13. You may make it perform by doing.

  After shifting to step S13, the creation support program performs an operation of selecting one or more solution concepts from the character string extracted from the basic information analyzed in step S12.

  Regarding the selection of the solution concept from the character string extracted from the basic information, the association between the reference character string acquired in advance and the solution concept may be referred to. For example, if the character string analyzed from the basic information is “strength”, if the link between the reference character string and the solution concept is referred to, the “strength” is highly related to segmentation (segmentation). ). For this reason, segmentation (subdivision) having high association with the analyzed character string “strength” is searched as a solution concept.

  In addition, when the character string analyzed from the basic information is “wipe body”, there is no exact reference character string, but when “wipe ass” exists as a reference character string, refer to this, As a solution concept, “disposable” may be searched and presented. In this way, even if the character string from the basic information and the reference character string do not completely match, as long as they partially match at the “wipe” as in this example, the reference character string is associated with the reference character string. You may make it search for a solution concept with high property.

  Furthermore, the character string analyzed from the basic information is “body wash”, and even if there is no reference character string that completely or partially matches this, There are similarities in semantic concepts. The similarity of the semantic concept may be set in advance on the system side, and a solution concept that is highly related to the reference character string having the high similarity may be searched.

  That is, the character string analyzed from the basic information is not only whether the reference character string and the character partially or completely match, but also the degree of similarity of the semantic concept, as well as the character string from the basic information. If the reference character string has some correspondence, a solution concept that is highly related to the reference character string may be searched.

  The above-described operation is performed not only for one character string analyzed from the basic information but also for a plurality of other character strings. As a result, not only one solution concept but also a plurality of solution concepts may be selected.

  The method for discriminating a solution concept having a higher association with the analyzed character string is not limited to the method described above. For example, three or more levels of association may be set in advance between the reference character string and the solution concept. In such a case, for each solution concept, “segmentation (subdivision)” is 84%, “asymmetry” is 25%, and “reverse” is 61% of “strength” as a reference character string. The degree of association is set in advance between the reference character string and the solution concept, such as “dynamicity” of 77% and “feedback” of 43%. Then, when the reference character string “strength” is selected according to the character string analyzed from the basic information, it may be determined that the character string is related by the above-described% of the association degree. A solution concept having an association degree equal to or higher than a predetermined threshold may be selected.

  It should be noted that the association data between the reference character string and the solution concept may be downloaded on the terminal 11 side, or stored in the server 13 at all times, and the server 13 as necessary. Or may be downloaded to the terminal 11.

  That is, this creation support program can immediately select a solution concept corresponding to the character string obtained by analyzing the basic information 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 transmitted to the outside 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 terminal 11.

  The user uses the solution concept output in this way as a hint, and uses his creativity to create an invention.

  The user analyzes the idea created in this way, understands it deeply from various viewpoints, and performs formalization of the created idea and the situation surrounding it. In this formalization work, in addition to the composition of the idea and the main concept, the social needs and problems behind the idea, the previously proposed prior art, the issues to be solved, the effects, etc. Are expressed by sentences or character strings that can be converted into text data. This formalized situation is hereinafter referred to as idea information. Incidentally, basic information may be applied as it is as the idea information.

  Next, the user inputs this idea information into the terminal 11 in which the creation support program is actually installed (step S14). The idea information may be input by the user himself / herself through direct input of text data via the operation unit 25 or the voice input unit 31, or text data of idea information created in another terminal 11 may be input / output. It may be input from the unit 29. Further, the text data of the idea information created by the user at the other terminal 11 may be transmitted via the public communication network 12 to the terminal 11 where the creation support program is actually installed. Further, the idea information may be one in which the entire system 1 automatically accesses the public communication network 12 and takes in the idea information, except when the user inputs the idea information himself.

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

  The creation support program proceeds to step S15 and analyzes the text data of the idea information. For this analysis, any existing text mining technology, data mining technology, language analysis processing technology, or the like may be used.

  Next, the creation 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.

  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 creation support program reflects the adoption information on the association between the reference character string and the solution concept (the degree of association of three or more levels). May be. In other words, for the reference character string highly related to the adopted solution concept, the degree of association may be further increased by several points. Among the output solution concepts, the solution concepts that are not included in the selection information are concepts that are unlikely to be actually adopted by the user. May further reduce the relevance 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 through a reference character string by using any one or more of these solution problems, solution means, and action effect analysis results. As a result, a reference character string specialized for any one or more of these solution problems, solution means, and operational effects is selected and a solution concept is searched.

  In the above-described embodiment, the description has been made on the assumption that the processes of steps S11 to S13 are performed on the terminal 11 side. However, the present invention is not limited to this, and may be performed on the server 13 side. Any step may be shared between the server 13 and the terminal 11.

  Next, another embodiment of the creation support system 1 to which the present invention is applied will be described.

  In the example of FIG. 5, the association of one or more solution concepts is only referred to one reference character string, whereas in the example of FIG. 6, between a plurality of reference character strings This refers to the relevance of each solution concept to the combination of.

  In FIG. 6, the reference character strings include “dog”, “wiping butt”, “polybag”, “seal”, “stick”, “cheap”, “easy to install”, etc. The solution concepts A1, A2,. A solid line indicates the association, and a dotted line indicates the combination. For example, “dog” and “wiping the bottom” are connected to each other by a dotted line, and a solid line extends from there to A2 and C1. This indicates that A2 and C1 are highly related solution concepts for the combination of “dog” and “wiping butt”. In other words, if the reference character string is only “dog”, it is impossible to know what the dog wants to solve and what is the problem. On the other hand, combining `` dog '' and `` wipe ass '' will narrow down to some extent innovation for wiping the anus after the dog dung, and it is possible to narrow down the solution concept according to this It becomes. In addition to this, in the dotted line where “dog”, “wipe off the butt”, and “polybag” are combined, the solution concept of A2 and B2 is further linked to a highly related one. This means that a plastic bag is further added to the above-described dog wiping, and the solution concept for wiping the dog's buttocks using the plastic bag is further narrowed down.

  The reference character string combination described above is a noun-noun, but may be a noun-verb, such as a combination of “seal” and “paste”. By combining nouns and verbs, the proposition to be realized becomes clear like "stick a sticker". And B3 will link as a solution concept with high relevance to sticking this seal. In addition to this, if a reference character string “polybag” is further combined, the solution concept for sticking a seal to the polybag will be narrowed down. If the reference character string “cheap” is added, the solution concept for sticking the sticker on the plastic bag at a low cost will be narrowed down.

  By acquiring in advance the association of one or more solution concepts for each combination of reference character strings in the same manner as in FIG. 5 described above, the solution concept is selected from the character strings actually analyzed from the basic information. In this case, it becomes possible to refer to this. In particular, it is possible to further narrow down the intended solution concept by combining them with each other rather than the reference character string alone, and it is possible to effectively select and propose the solution concept that the user really desires. . Incidentally, this relevance may also be indicated as three or more levels of relevance as described above.

  In actuality, when referring to the association of one or more solution concepts for each combination of reference character strings, a plurality of character strings are extracted from the basic information. Then, a solution concept having a high relevance (a degree of relevance of three or more stages) for a combination between a plurality of reference character strings according to the plurality of extracted character strings is proposed. In such a case as well, as described above, the character string analyzed from the basic information is based on whether the reference character string and the character partially or completely match, not only the degree of similarity of the semantic concept but also the basic information. If the reference character string has a certain correspondence with the character string, a solution concept that is highly related to the reference character string may be searched.

  At this time, the combination between the reference character strings may be any combination of noun-verb, noun-adjective, adjective-verb, and noun-noun. When extracting a character string from basic information, a plurality of character strings composed of one or more combinations of noun-verb, noun-adjective, adjective-verb, and noun-noun as words or phrases are extracted, You may make it search for a solution concept, referring the combination of the same part of speech in the reference character string.

  When the server 13 is controlled by artificial intelligence, the association between the reference character string and the solution concept may be learned. In other words, the association between the reference character string and the solution concept as shown in FIG. 5 and the combination between the reference character string and the solution concept as shown in FIG. Go. The artificial intelligence learns based on information provided from the outside to the server 13 via the public communication network 12. The information provided from the outside to the server 13 may be transmitted from the terminal 11 using this system, for example. As a result of using the creation support program to which the present invention is applied by the terminal 11, the relationship between the reference character string selected by the user and the solution concept, the relationship between the reference character string not selected by the user and the solution concept, or the like The past history information is recorded on the terminal 11 side. Then, the past history information is transmitted from the terminal 11 to the server 13. The artificial intelligence that controls the server 13 updates the association between the reference character string and the solution concept based on the transmitted past history information. That is, the relation between the reference character string selected by the user and the solution concept is updated with a high degree of association, and the relation between the reference character string not selected by the user and the solution concept is updated with a lower degree of association. For this update, a neural network or the like may be used.

  By collecting such past history information from all the terminals 11 using this system to the server 13, the association between the reference character string and the solution concept is learned from time to time based on a large amount of data. Therefore, it becomes easier for the user to accept, and it is easier to provide a solution concept that is the quickest solution.

  It goes without saying that the association between the reference character string and the solution concept in the server 13 may be learned by the artificial intelligence implemented on the terminal 11 side.

Second Embodiment Hereinafter, a second embodiment of a creation support program to which the present invention is applied will be described. In the second embodiment, in the same configuration and steps as those of the first embodiment described above, the description of the first embodiment is cited and the description thereof is omitted below.

  In this 2nd Embodiment, it starts from the place where the user inputs the information regarding the creation to be newly created. The creations to be newly created here will be described with examples of inventions and innovations, but the creations are not limited to these.

  This creation includes everything that can be created by humans, for example, not only art, such as paintings, sculptures, pottery, prints, works, paper crafts, but also block toys, for example. It may be one that has completed one form or any other handicraft or craft. The creation includes music.

  In addition, the creation includes an object or an earthen structure to be newly designed. The object of this design is a concept that includes all products including machines, software, plants, business models, office supplies, sundries, production equipment, electronic circuits, electronic equipment, ships, flying vehicles, rockets, drones, etc. The civil engineering structure to be designed is a concept including all architectural structures and civil engineering structures such as roads, tunnels, harbors, bridges, houses, buildings, gardens, building materials, sluices, and the like.

  The creation may be anything that can be worn by people, such as clothes, shoes, trousers, hats, glasses, bags, accessories, rings, nails, earrings, ties, ribbons, etc. May be.

  Creation includes text creation. Sentences to be written include music of all genres such as novels, essays, editorials, papers, patent specifications, screenplays, articles such as newspapers and magazines, diaries, in-house documents, and various reports. The sentence to be written here is not limited to a sentence that is completed as a single section, it may be just one sentence, and even if it is not completed as one sentence, it constitutes a sentence. It is a concept that includes a part of phrase, dependency, and expression.

  The creation includes a business model to be proposed.

  As an example of the basic information input by the user, the same basic information as in the first embodiment may be used. Further, the idea information generated in the first embodiment may be used as basic information in the second embodiment.

  The user manually inputs the basic information through the operation unit 25 in the terminal 11 or inputs the basic information by voice through the voice input unit 31. This input may be input by text data, but may be selected from selection items displayed to the user. In addition, basic information created in another terminal 11 or an electronic device such as a PC may be input from the data input / output unit 29. Further, text data created by the user in another terminal 11 or an electronic device such as a PC may be transmitted via the public communication network 12 to the terminal 11 where the creation support program is actually installed.

  Further, the basic information may be one in which the entire system 1 automatically accesses the public communication network 12 and takes in the basic information except when the user inputs the basic information. If the idea information has already been taken in, it may be read and used as basic information.

  After the basic information is acquired in this way, the creation support program actually executes the processing operation. The processing operation flow of this creation support program proceeds based on the flow shown in FIG. In the creation support program, the user is prompted to input basic information (idea information) in step S21. This basic information may be obtained through a character string input by the user himself / herself, or is input by displaying such a character string to be input to the user and being selected by the user. It may be a thing. In step S22, the basic information input in step S21 is analyzed. For this analysis, any existing text mining technology, data mining technology, language analysis processing technology, etc. may be used, and the basic information to be analyzed is a structural unit in any grammar such as words, morphemes, phrases, clauses, etc. A character string is extracted over one or more units.

  Next, the creation support program proceeds to step S23, and starts searching for a specific example having a high degree of association (three or more degrees of association) with the character string and information extracted in step S22. Before performing this search, the terminal 11 acquires in advance the association (three or more degrees of association) between the reference character string and the specific examples classified into two or more types.

  Specific examples are images, figures, explanatory texts, videos, and the like that are useful in actualizing creative creations such as inventions. As shown in FIG. 8, the specific examples A1, A2, A3, B1, B2, B3, C1, C2, C3,... Are, for example, all past and present inventions, products, books, encyclopedias, printed materials, It corresponds to information such as information posted on the Internet. The product as a specific example may be shown as an image of the appearance of the product, and includes an explanatory text describing the contents of the product. In addition, the specific examples include descriptions and drawings of patent publications concerning the inventions constituting the products. By the way, the specific examples are not intended only for products that are in the form of final products, but there are guidelines for the completion of products even if they are in semi-finished products or products are incomplete. It may appear.

  As in the example shown in FIG. 5 described in the above-described solution concept, the method of expressing the association is based on whether the reference character string and the specific example are associated with each other by using a true or false binary value as shown in FIG. You may make it express digitally. As a method for expressing other associations, an association degree of three or more levels may be adopted. At this time, the degree of association may be indicated by a numerical value such as 0 to 100 points or 0 to 100%.

  The entire system 1 acquires the association between the reference character string and the specific example in advance before analysis in step S23 so that it can be read out at any time.

  After shifting to step S23, the creation support program performs an operation of selecting one or more specific examples from the character string extracted from the basic information analyzed in step S22.

  As for the selection of the specific example from the character string extracted from the basic information and the information, as shown in FIG. 8, the association between the reference character string acquired in advance and the specific example may be referred to. For example, when the character string analyzed from the basic information is “dog wiping the dog”, as a specific example having a high degree of association with this, search for past products and patent publications regarding such dog wiping. It will be.

  The character string analyzed from the basic information has some correspondence with the character string from the basic information as well as whether the reference character string and the character partially or completely match, not only the degree of similarity of the semantic concept If the reference character string has a relationship, a specific example having high association with the reference character string may be searched. In step S21, when the basic information is input by displaying the character string to be input to the user and being selected by the user, the selected item or information and the reference character are input. It is also possible to acquire associations with columns (associations of three or more levels) in advance and convert items or information selected as basic information into reference character strings by referring to these associations. . Further, the item to be selected or the information itself may be constituted by a reference character string. In such a case, the reference character string selected by the user is searched as it is for a specific example highly related to it. Incidentally, the search method of this specific example is the same as the search for the solution concept described above.

  The method for discriminating a design concept having a higher association with the analyzed character string is not limited to the method described above. For example, three or more levels of association may be set in advance between the reference character string and the specific example. In such a case, 84% of the wet tissue for wiping the dog's buttocks already on the market designed by XX Company for each specific example against “Wipe the dog's butt” as the reference character string is human. The relationship between the reference character string and the specific example is set in advance, such as 65% for the wet tissue for wiping the butt used by babies and 45% for the image of the wet tissue structure shown in the pictorial book. . When the reference character string “wipe dog's tail” is selected according to the character string analyzed from the basic information, it is determined that the character string is linked by the% of the above-mentioned association degree. Also good. A design concept having an association degree equal to or higher than a predetermined threshold may be selected.

  That is, the creation support program can automatically select a specific example corresponding to the character string obtained by analyzing the basic information and output it. The output of the specific example may be displayed on the display unit 26 via the output I / F 16, may be notified by voice, or transmitted to the outside via the data input / output unit 29. May be. The output of the specific example 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 terminal 11. As the output of the specific example, for example, a character string, an image, a video, and the like for showing the specific example may be displayed on the screen in descending order of association.

  The user uses the specific example output in this way as a hint, and exhibits his / her creativity to create an invention or the like. That is, providing a specific example to the user leads to support for the user's own invention creation.

  In the example of FIG. 8, one or more reference character strings are referred to only one reference character string, whereas in the example of FIG. 9, between a plurality of reference character strings. This refers to the relevance of each example to the combination.

  In FIG. 9, as a reference character string, for the combination of “dog wiping”, “fitting to fingers”, and “disposable”, a specific example A2 composed of dog wiping goods with a high degree of association is shown. By acquiring in advance, it is possible to refer to this when selecting a specific example from a character string actually analyzed from basic information. For example, when the basic information is “dog wiping”, “fitting to fingers”, and “disposable”, the specific example A2 related to this with a high degree of association is selected. It becomes possible. In particular, the intended specific examples can be narrowed down by combining them with each other rather than the reference character string alone, and the user can effectively select and propose the specific examples that the user really desires. .

  When the entire system 1 is controlled by artificial intelligence, it is possible to learn the relevance (relationship of three or more levels) between the reference character string and the specific example. In other words, by loading the existing various designs, the relationship between the reference character string as shown in FIG. 8 and the design concept, and the relationship between the reference character string and the design concept as shown in FIG. It is updated from time to time by learning with artificial intelligence.

  Deep learning may be used to learn this association, or a neural network (including a hidden layer including a single layer) may be used.

  In addition, instead of sequentially indicating those with high relevance (relationships of three or more steps), those with low relevance may be shown in order. This makes it possible to capture a few signs without missing a sign and use it as a reference for creative activities.

  In particular, the above-described relevance can be determined with three or more degrees of relevance, and the following merits are obtained. First, by searching based on the degree of association expressed by a numerical value of three or more levels, if a plurality of specific examples are selected, it is possible to search and display in the order of specific examples with the highest degree of association. It can be said that the specific example with a high degree of association is more likely to be a combination of useful specific examples for the user from the previous tendency. It can be said that there is an advantageous effect in that it can be displayed to the user in order from a specific example having such a high possibility of adoption.

  In addition to this, according to the present invention, it is possible to make a determination without missing a link between a reference character string having a very low relevance such as 1% and a specific example. Even in a specific example in which the degree of association with the designated reference character string is very low but connected as a slight sign, a useful hint may be shown to the user once or every tens of times. When specific examples with high relevance and high possibility of adoption are displayed in order, and the user does not come up with a good idea even after trying new invention creation based on these, this relevance is very low but slightly It is possible to perform a retry based on a specific example having a connection.

  Furthermore, by performing a search based on such a degree of association, there is an advantage that a search policy can be determined by a method of setting a threshold. If the threshold is lowered, even if the above-mentioned relevance is 1%, it can be picked up without omission, but there are cases where many specific examples with low possibility are picked up. On the other hand, if the threshold value is increased, only specific examples with high possibility can be narrowed down. However, although the possibility is low, sometimes useful knowledge is overlooked. It is possible to decide which to place importance on the basis of the user side and system side thinking.

  Moreover, 2nd Embodiment is not limited to the form mentioned above. For example, as shown in FIG. 10, it is possible to refer to the association between the solution concept acquired in advance and the specific example (association degree of three or more stages).

  In such a case, it is assumed that the association between the solution concept and the specific example is acquired in advance. For example, for the solution concept “load internal stress in advance”, as a specific example, for example, a prestress concrete figure or photograph of a bridge may be assigned with high association.

  Next, the input of the solution concept is accepted. The solution concept may be input directly from the user, or when shifting to the second embodiment following the first embodiment, the solution concept assigned in the first embodiment. May be used as they are. Information corresponding to this solution concept may be obtained directly from the Internet.

  After acquiring the solution concept, the relationship between the solution concept and the specific example described above (relationship of three or more levels) is referred to to determine what specific example and the relatedness of the acquired solution concept are high. And it displays in order from the specific example with a high association degree, or the specific example with a low association degree. This specific example may be displayed not only as one specific example but also as a plurality of specific examples.

  Upon receiving the display of such a specific example, the user can understand how to realize the solution concept as an actual product, and can provide support for commercialization.

  The example of FIG. 11 is an example in which three or more levels of association between a combination of one or more reference character strings and one or more solution concepts and specific examples classified into two or more types are referred to.

  In FIG. 11, “dog wiping” and “fitting to fingers” are used as reference character strings, and “preliminary internal stress” is combined with each other as a solution concept. One is a seal for wiping the dog's buttocks, and another specific example B1 is a description of a cleaning sponge in which internal stress is preliminarily applied to the finger portion in order to improve the fit to the finger. It is assumed that

  At this time, if the input basic information and solution concept are “dog wipes”, “fitting to fingers”, and “preliminary internal stress”, this is considered to be highly relevant. The related specific example A2 and specific example B1 are selected. By combining these specific examples A2 and B1, it becomes possible for the user to come up with the idea that internal stress should be applied to improve the fit to the finger in the dog's hip wipe seal, and to support creative activities It becomes possible to connect.

  When the creation support system 1 is controlled by artificial intelligence, the association between the solution concept and the specific example (the degree of association of three or more stages) may be learned in the same manner as described above. Further, the relevance of a specific example for a combination of two or more reference character strings, and the relevance of a specific example for a combination of one or more reference character strings and one or more solution concepts may be similarly learned.

  That is, these associations may be updated at any time by learning with artificial intelligence by reading the relationship between various existing reference character strings and solution concepts and specific examples.

1 Creation Support System 11 Terminal 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 31 Voice input unit

Claims (14)

An information acquisition step for acquiring information on a creation to be newly created;
Two or more references according to the information acquired in the information acquisition step with reference to three or more levels of association between the combinations of two or more reference character strings acquired in advance and specific examples classified into two or more types A creation support program that causes a computer to execute a search step for searching for one or more specific examples based on three or more levels of association between a combination of character strings and the specific examples. An information input step for accepting input of information on a creation to be newly created;
The combination of two or more reference character strings according to the information input in the information input step and the above-mentioned specifics using the combination of two or more reference character strings and the respective three or more degrees of association between the specific examples A creation support program that causes a computer to execute a search step for searching for one or more specific examples based on three or more levels of association with examples. An information acquisition step for acquiring information on a creation to be newly created;
A solution concept acquisition step for acquiring a solution concept based on a creation to be newly created;
One or more acquired in the above solution concept acquisition step with reference to three or more levels of relevance between a combination of one or more reference character strings and one or more solution concepts acquired in advance and specific examples classified into two or more types A search step for searching for one or more specific examples based on a solution concept and a combination of one or more reference character strings according to the information acquired in the information acquisition step and three or more levels of association with the specific examples. A creative support program characterized by having it be executed. An information input step for accepting input of information on a creation to be newly created;
A solution concept input step for receiving an input of a solution concept based on a creation to be newly created;
One or more solution concepts and the information input step input in the solution concept input step using at least three levels of association between one or more reference character strings and one or more solution concept combinations and each specific example A computer is caused to execute a search step for searching for one or more specific examples based on a combination of one or more reference character strings corresponding to the information input in the above and three or more levels of association with the above specific examples. A creative support program. A solution concept acquisition step for acquiring a solution concept related to a creation to be newly created;
Referring to the three or more levels of association between each solution concept acquired in advance and specific examples classified into two or more types, the three or more levels of association between the solution concept acquired in the above solution concept acquisition step and the above specific examples And a search step for searching for one or more specific examples based on the above. A solution concept input step for receiving an input of a solution concept related to a creation to be newly created;
Using three or more levels of association between each solution concept and each specific example, one or more specific examples based on three or more levels of association between the solution concept and the above specific example input in the solution concept input step. A creation support program characterized by causing a computer to execute a search step for searching. In the search step, a reference character string or a solution concept and a relationship between specific examples are acquired based on information provided from the outside, and learning is performed through artificial intelligence so that the relationship is reflected in the association degree to be referred to. The creation support program according to any one of claims 1 to 6. Information acquisition means for acquiring information on a creation to be newly created;
Reference is made to three or more levels of association between a combination of two or more reference character strings acquired in advance and specific examples classified into two or more types, and two or more according to the information acquired by the information acquisition means A creation support system comprising: search means for searching for one or more specific examples based on three or more levels of association between the combination of reference character strings and the specific examples. An information input means for receiving input of information on a creation to be newly created;
A combination of two or more reference character strings according to the information input by the information input means and the above specifics using a combination of two or more reference character strings and each of the specific examples using three or more levels of association. A creation support system comprising: search means for searching for one or more specific examples based on three or more levels of association with examples. Information acquisition means for acquiring information on a creation to be newly created;
A solution concept acquisition means for acquiring a solution concept based on a creation to be newly created;
One or more acquired by the solution concept acquisition means with reference to three or more levels of association between a combination of one or more reference character strings and one or more solution concepts acquired in advance and two or more types of specific examples. Search step means for searching for one or more specific examples based on a solution concept and a combination of one or more reference character strings according to the information acquired by the information acquisition means and three or more levels of association with the specific examples. A creation support system characterized by having. An information input means for receiving input of information on a creation to be newly created;
A solution concept input means for receiving an input of a solution concept based on a creation to be newly created;
One or more solution concepts inputted by the solution concept input means and the information input means using the combination of one or more reference character strings and combinations of one or more solution concepts and each specific example in three or more stages A search means for searching for one or more specific examples based on three or more levels of relevance between the combination of one or more reference character strings corresponding to the information input by the above and the specific examples. Support system. A solution concept acquisition means for acquiring a solution concept regarding a creation to be newly created;
Referring to the three or more levels of association between each solution concept acquired in advance and specific examples classified into two or more types, the three or more levels of association between the solution concept acquired in the above solution concept acquisition step and the above specific examples And a search means for searching for one or more specific examples based on the creation support system. A solution concept input means for receiving an input of a solution concept relating to a creation to be newly created;
One or more specific examples based on three or more levels of relevance between the solution concept and the specific example input by the solution concept input means, using three or more levels of relevance between each solution concept and each specific example. A creation support system comprising a search means for searching. The search means acquires a relationship between a reference character string or a solution concept and a specific example based on information provided from the outside, and learns through artificial intelligence so as to reflect this in the degree of association to be referred to The creation support system according to any one of claims 8 to 13.

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