JP2018055605A - Innovation creation support program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an innovation creation support program which allows for supporting creation of creations by effectively presenting creation concepts to innovators.SOLUTION: An innovation creation support program makes a computer perform steps of: extracting information corresponding to a creation to be newly created; and referring to three of more levels of relevance between each of pre-acquired reference character strings and each of creation concepts sorted into two or more categories to look up one or more creation concepts on the basis of three or more levels of relevance between reference character strings corresponding to the information extracted in the mining step and the creation concepts.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a creation support program suitable for efficiently providing a creation concept for supporting creation in creations such as newly created paintings and ceramics.

  Traditionally, creative creations such as artificially created paintings and pottery give moisture and healing to the people who appreciate them. For this reason, new creations continue to be created by artists. In addition, an increasing number of people have a hobby of creating such creations.

  When ordinary people actually create their own creations, it is often quicker to learn how to create them based on previous creations created by artists. Also, if you can't create a creative work well, you may want to ask an artist or an instructor for the creative work, etc., but it cannot be done easily due to time restrictions or financial restrictions.

  For this reason, a system that automatically supports creation of such creations has been desired.

  A system that supports creation of an invention has been proposed in the past (for example, see 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, since the disclosed technique of Patent Document 1 described above is only for the purpose of supporting creation of innovation, it is not intended for the creation of art objects such as paintings and ceramics. For this reason, there was a problem that it was not possible to effectively support the creation of paintings, ceramics, and the like.

  Therefore, the present invention has been devised in view of the above-described problems, and the object of the present invention is to provide creative creation support by effectively presenting the creative concept to the creator. It is to provide a creative support program that can do this.

  The creation support program to which the present invention is applied includes 3 mining steps for extracting information according to a creation to be newly created, each reference character string acquired in advance, and two or more types of creation concepts. A search step for searching for one or more creative concepts based on three or more levels of relevance between the reference character string and the creative concept according to the information extracted in the mining step with reference to the level of relevance It is made to perform.

  The creation support program to which the present invention is applied includes a mining step for extracting a character string from information corresponding to a creation to be newly created, and each creation concept for a combination between a plurality of reference character strings acquired in advance. Based on three or more levels of relevance, and based on three or more levels of relevance with each creative concept for a combination of a plurality of reference character strings corresponding to a plurality of character strings extracted in the mining step. A search step for searching for a creative concept is executed by a computer.

  The creation support system to which the present invention is applied includes a mining means for extracting information according to a creation to be newly created, each reference character string acquired in advance, and creation concepts classified into two or more types. Search means for searching for one or more creative concepts based on three or more levels of association between a reference character string and a creative concept according to information extracted by the mining means with reference to the degree of association at a higher level. It is characterized by providing.

  The creation support system to which the present invention is applied includes a mining means for extracting a character string from information corresponding to a creation to be newly created, and each creation concept for a combination between a plurality of reference character strings acquired in advance. Based on three or more levels of association with each creative concept for a combination of a plurality of reference character strings corresponding to a plurality of character strings extracted by the mining means with reference to three or more levels of association, one or more And a search means for searching for a creative concept.

  According to the present invention having the above-described configuration, by analyzing basic information, it is possible to immediately select a creation concept corresponding to this and output it. As a result, various creative support can be realized.

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 for demonstrating the whole flow of the creation assistance program to which this invention is applied. 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 relevance of the abstracted creation concept. It is a figure for demonstrating the example of the search concept used in the creation assistance program to which this invention is applied. It is a schematic diagram which shows the relationship of the combination of a character string for reference, and a creation concept. It is a figure which shows the example which considers to what extent the character string analyzed from the basic information respond | corresponds with the reference character string.

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

Creation Support Program The creation support program to which the present invention is applied is embodied by, for example, a configuration as shown in FIG. The overall 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.

  The entire 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 can operate the terminal 11 and receive support for performing creative activities through the creative support program installed in the terminal 11. As shown in FIG. 3, this creation support program is used as support software when a user creates a creation 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 side to the server 13 or the public communication network 12 every time it is used. Of course, it may be used.

  The creation process starts when the user inputs information on a creation to be newly created. The creations mentioned here include everything that can be created by human beings. For example, not only works of art such as paintings, sculptures, pottery, prints, works, paper crafts, but also block toys, for example. It is a concept that includes one form completed by combination, and all other handicrafts and crafts.

  Examples of information input by the user include information on an object or person to be drawn as a picture, information on a background, and the like. This background information is whether the object to be drawn in the background is a mountain, a rural landscape, the sea, the season, or the like. Moreover, as an example of information input from this user, for example, information that is actually envisioned is input, such as facial expressions such as emotions, race, age, gender, clothes, etc. Moreover, you may make it input for every area | region of the picture which draws information, such as a color and a brightness. Moreover, you may make it input which painter's image is drawn as a style. Also, it may be input whether it is an oil painting style, a watercolor painting style, an ink painting style, or a cut picture style.

  Similarly, if it is a pottery, enter information such as whether the pottery you are going to create is a bowl, a cup of tea, a dish, a tea cup, etc. Enter information such as the condition, color, brightness, and gloss, and the thickness of the pottery. 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. 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.

  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 is shown in FIG.

  In step S11, the creation support program prompts the user to input basic information. This basic information may be acquired 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 S12, the basic information input in step S11 is analyzed. 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, if there is text data that says `` Children are happily running around in a rural landscape where the watermill and river flow, the weather is fine but there are thin clouds, '' `` watermill, '' ”,” “River”, “ga”, “flow”, “weather”, “ha”, “sunny”, “ga”, “thin cloud”, “ga”, “out”, etc. It may be extracted for each word or fine morpheme, or for each phrase such as “in the countryside”, “children”, “fun”, “running around”, etc. Also good. In step S11, when the basic information is input by displaying a character string to be input to the user and being selected by the user, the selected item or information is used as it is. Alternatively, the selected information and the character string of the item may be analyzed as described above.

  Next, the creation support program moves to step S13, and starts searching for a creation concept that is highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between a reference character string and an abstract creation concept that is classified into two or more types as shown in FIG.

  The creative concept contains all the information that helps in creating a creative work. This creative concept is A1, A2, A3, B1, B2, B3, C1, C2, C3, etc. It may be an image of the creation itself, a diagram, an explanatory text, a video, etc. that are opened in an easy-to-understand manner. The creative concept also includes all images, figures, explanations, and videos that can be accessed via a public communication network such as the Internet. The creative concept may be a diagram, an explanatory text, a video, etc. for lectures on perspective, how to draw a drawing, and how to compose a composition. In addition, this creative concept includes all drawings and explanations contained in teaching materials such as paintings, sculptures, and prints used at technical high schools, art colleges, art vocational schools, prep schools, etc., and actual lectures and seminars at these schools. It may be a video. The creation concept is a concept that includes all other tools and information necessary for creation.

  The overall system 1 acquires an association indicating the degree to which such a character string and the creation concept are related to each other. As a method of expressing this association, for example, a reference character string and a creation concept connected by an arrow as shown in FIG. 5 are linked to each other, and a reference character string and a creation 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 creation concept A2 may be expressed in the form of being linked to the reference character strings c11 and a21 but not linked to other creation concepts. That is, in this case, the presence / absence of the association between the reference character string and the creative concept is digitally expressed by a binary value of true or false.

  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%.

  For example, the creation concept B3 is linked to 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 a reference character string “watermill”, as a creative concept with an association degree of 80%, a picture with a watermill drawn by a famous painter as shown in FIG. A picture of a watermill at a different angle drawn by another painter as shown in b), or a picture of a watermill like previously taken by an amateur as shown in FIG. 6C may be set. .

  Prior to the analysis in step S13, the overall system 1 stores the association between the reference character string and the creation 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 creative 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 by doing.

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

  Regarding the selection of the creation concept from the character string or information extracted from the basic information, the association between the reference character string acquired in advance and the creation concept may be referred to. For example, when the character string analyzed from the basic information is “watermill”, the creative concept having a high degree of association with these is the three figures and pictures shown in FIG. For this reason, three drawings and paintings shown in FIG. 6 that are highly related to the analyzed character string “watermill” are searched for as a creative concept.

  If the character string analyzed from the basic information is “windmill”, there is no identical character string for reference, but if “watermill” exists as a reference character string, refer to this and create As a concept, it is possible to search for and present the three figures and pictures shown in FIG. Thus, even if the character string from the basic information and the reference character string do not completely match, if the character string partially matches at the “car cabin” as in this example, the reference character string and You may make it search for a highly relevant creative concept.

  Furthermore, the character string analyzed from the basic information is “rotate by the force of the flow” or “river”, and even if there is no reference character string that completely or partially matches this, There is a similarity in semantic concept with “Hut”. The similarity of the semantic concept may be set in advance on the system side, and a creative concept having a high association with 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 creative concept that is highly related to the reference character string may be searched. In step S11, if the basic information is input by displaying a 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 directly searched for a creative concept that is highly related to it.

  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 creative concept but also multiple creative concepts may be selected.

  The method for discriminating the creation concept that is more related to the analyzed character string is not limited to the method described above. For example, the association degree may be set in advance between the reference character string and the creation concept. In such a case, 84% of the paintings in Fig. 6 (a) and 77% of the photos in Fig. 6 (c) are introduced for each creative concept for "watermill" as the reference character string. The degree of association is set in advance between the reference character string and the creation concept, such as 45% for videos and 36% for drawings of examples of drawing methods based on perspective. Then, when the reference character string “watermill” is selected according to the character string analyzed from the basic information, it may be determined that it is linked by the% of the above-mentioned association degree. . And you may make it select the creation concept whose association degree is more than a predetermined threshold value.

  It should be noted that the association data between the reference character string and the creation 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, the creation support program can automatically select a creation concept corresponding to the character string obtained by analyzing the basic information and output it. The output of the creation 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 creative 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 creation concept output in this way as a hint, and creates his or her creation by demonstrating his / her creativity. For example, when we are going to draw a picture of a water wheel, the pictures, photos, introduction videos of how to make a composition, drawings of examples of drawing methods based on perspective, etc. are provided. With reference to these, it becomes possible to improve the quality of his creation. That is, providing the creation concept to the user leads to support for the creation of the user himself.

  The method of providing the creation concept is not limited to the method described above. For example, if a painter's name such as “Monet” or “Goch” is entered as basic information, a representative work associated with the reference character strings “Monet” and “Goch” is selected as the creation concept. If you enter "Netherlands" as basic information, for example, a picture of a woman wearing a Dutch national costume or a picture of a windmill depicting the scenery of the Netherlands is linked to the reference string "Netherlands". Selected as a creative concept.

  In the example of FIG. 5, one or more reference concepts are referred to one reference character string, whereas in the example of FIG. 7, between a plurality of reference character strings. This refers to the relevance of each creative concept to the combination.

  In FIG. 7, as a reference character string, “watermill” at P1, “cloud sky” at P2, “Gogh” at P3, “watercolor” at P4, “children run around” at P5, “Netherlands” at P6, etc. The creative concepts A1, A2,... Are assigned to these combinations. A solid line indicates the association, and a dotted line indicates the combination. This association may be defined through three or more degrees of association in addition to the binary value indicating whether or not the association is made.

  When “watermill” and “cloud sky” are combined, it is conceivable that pictures, drawings, videos, images, explanations, etc. with a watermill and cloudy weather are assigned as creative concepts. In addition, when a reference character string “Goch” is further combined with these, a picture or the like related to Van Gogh's work is assigned as a creative concept because there is a watermill and the weather is cloudy. Further, when the reference character string “watercolor” is further combined with these, it is related to “watermill”, “cloud sky”, and “Gogh”, and a watercolor thing is assigned as a creative concept. In addition, for the combination of the reference character string “Watercolor” and “Children run around”, watercolor pictures and drawings, videos, images, explanations, etc. with children running around are assigned as creative concepts. .

  By acquiring in advance, as in FIG. 5 described above, one or more creative concept associations (three or more degrees of association) for each combination of reference character strings as described above, and actually analyzing them from basic information. This can be referred to when selecting a creation concept from a character string. For example, if the basic information is “watermill”, “cloud sky”, “Gogh”, there is a car cabin that is related to this, and the weather is cloudy, A picture related to Van Gogh's work will be selected as the creative concept. In particular, the intended creation concept can be further narrowed down by combining them with each other rather than the reference character string alone, and the user can effectively select and propose the creation concept that the user really desires. .

  In the case where the overall system 1 is controlled by artificial intelligence, the association between the reference character string and the creation concept (association level of three or more levels) may be learned. In other words, the association between the reference character string and the creation concept as shown in FIG. 5 and the combination between the reference character string and the creation 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 creation concept, or the relationship between the reference character string not selected by the user and the creation concept, etc. 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 creative concept based on the transmitted past history information. That is, the relationship between the reference character string selected by the user and the creation concept is updated with a high degree of association, and the relationship between the reference character string not selected by the user and the creation 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 creation concept is learned at any time based on a large amount of data. , It will be easier for users to accept, and it will be easier to provide creative concepts that are the fastest way to solve.

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

  Incidentally, not only the past history information of the terminal 11 using this system described above but also all the Internet information that can be acquired through the public communication network, the big data, when this artificial intelligence learns Data may be used.

  According to the present invention, the correspondence between the character string analyzed from the basic information and the reference character string may be learned by artificial intelligence. This learning by artificial intelligence may be executed on either the terminal 11 side or the server 13 side.

  For example, as shown in FIG. 8, when considering to what extent the character string analyzed from the basic information corresponds to the reference character string “wipe the bottom”, first, the character string “wipe the tail” is the reference character string “ It corresponds almost 100% to “wipe ass”. On the other hand, the character string “Body wipe” is 70%, the character string “Body wash” is 50%, the character string “Brushing” is 35%, and the character string “ “Feeding” may be grasped through a numerical value such as a percentage such as 5%. Based on information provided from the outside, the numerical value of the correspondence relationship may be changed, or the relationship between the new character string and the reference character string may be defined. For example, when the co-occurrence of “wipe body” and “wipe off the bottom” from information acquired from the Internet or from a document read from the outside (probability of applying for both within one homepage and within one document) is high May be configured to increase the percentage value of the correspondence relationship described above and to lower the percentage value of the correspondence relationship described above when the co-occurrence degree is low.

  The correspondence between the character string analyzed from the basic information and the reference character string is the information obtained from the Internet regarding the degree of similarity of the semantic concept as well as whether or not the characters partially or completely match. Alternatively, it may be learned by artificial intelligence from a document read from outside. For example, “wipe ass” and “feces” do not match in terms of words, but if there is a high probability of filing both within one homepage and within one document, the semantic concepts are similar and new May be registered as a word corresponding to the reference character string “wipe the bottom”.

  Further, according to the present invention, a process for prompting the user to input basic information may be introduced. The promotion of the input of the basic information may be performed according to the character string extracted by mining the basic information or the search result of the creative concept in step S13.

  For example, if the character string extracted from the basic information is simply “wipe ass” or “cheap”, the creative concept can be narrowed down without identifying what the person, dog, etc. There may not be. In such a case, if there is no other character string that is considered to be the target of wiping as a result of mining the basic information, the user is prompted to input further basic information in order to identify the target. May be.

Composition Support Program Hereinafter, a composition support program to which the present invention is applied will be described. This composition support program has the same configuration as that of the above-described creation support program, but further new functions will be described.

  The composition support program to which the present invention is applied is executed by the overall system 1 via the composition support program installed in the terminal 11. That is, the user can operate the terminal 11 and receive support for performing composition activities through the composition support program installed in the terminal 11. This composition support program is used as support software when a user composes himself as a composer as shown in FIG. The music composition support program is not limited to the case where it is installed and used in the terminal 11, but is stored in the server 13 and accessed from the terminal 11 side to the server 13 or the public communication network 12 every time it is used. Of course, it may be used.

  The composition process starts when the user inputs information about music to be newly composed. The music to be composed here includes music of all genres such as classical music, rock music, jazz, contemporary music, VOCALOID (registered trademark), synthesizer, kayokyoku, and enka. The music to be composed here is not limited to one that is completed as a single piece of music, but is a concept that includes a phrase consisting of only one measure.

  Examples of basic information input by this user include the tempo, rhythm, tone, chord, harmony, melody and accompaniment (including fragmentary pieces), length, introduction, chorus, and modulation of the music to be composed. In addition to the music theory such as the above, it may be the musical instrument used, the age group and sex to listen to the composed music, the genre of the music, the musician's music, etc. The information input by the user includes all kinds of information related to the music to be composed from now on, such as what kind of scene the music is about, a bright image, or a sad image.

  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. Alternatively, 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 composition 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.

  After the basic information is acquired in this way, the composition support program actually executes the processing operation. The processing operation flow of this composition support program proceeds based on the flow shown in FIG. In the music composition support program, the user is prompted to input basic information in step S11. This basic information may be acquired 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 S12, the basic information input in step S11 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 composition support program proceeds to step S13, and starts searching for a composition concept that is highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between the reference character string and the composition concept classified into two or more types.

  The composition concept contains all the information that helps in the composition. This composition concept A1, A2, A3, B1, B2, B3, C1, C2, C3, ..., for example, music composed by all past composers, music composed by amateurs, all records sold , CD music, pop songs and enkas composed by all singer-songwriters, and all songs and music from all over the world. The composition concept also includes any music that can be accessed and listened through a public communication network such as the Internet. In addition, this composition concept is an image, diagram, and explanation that shows all musical theories such as music tempo, rhythm, tone, chord, harmony, melody and accompaniment (including fragmentary pieces), length, introduction, rust, modulation, etc. Includes sentences and videos. The composition concept may be a sound of a musical instrument or a human voice. The composition concept may be any figure or explanation included in music materials used in high schools, music colleges, music colleges, prep schools, etc., or videos of actual lectures and seminars at these schools. The composition concept is a concept including all other tools and information necessary for composition. The composition concept may be provided by, for example, sound itself, in addition to the visually recognizable explanatory text or picture.

  As in the example shown in FIG. 5 described in the above-described creation concept, this association expression method digitally expresses the presence / absence of association between the reference character string and the composition concept using a binary value of true or false. It may be. 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 composition concept before analysis in step S13 so that it can be read out at any time. At this time, if the association between the reference character string and the composition concept is not stored in its own storage unit 27, it is stored in the server 13, and this server 13 is accessed when the step S13 is actually executed. You may make it perform by doing.

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

  Regarding the selection of the composition concept from the character string or information extracted from the basic information, the association between the reference character string acquired in advance and the composition concept may be referred to. For example, when the character string analyzed from the basic information is “jazz with fast tempo”, such a fast tempo jazz music is searched as a composition concept having a high degree of association with it.

  The character string analyzed from the basic information has some correspondence to 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 composition concept that is highly related to the reference character string may be searched. In step S11, if the basic information is input by displaying a 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 directly searched for a composition concept that is highly related to the reference character string. Incidentally, the method for searching for the composition concept is the same as the method for searching for the creative concept described above.

  The method for discriminating a composition concept that is more related to the analyzed character string is not limited to the method described above. For example, the degree of association may be set in advance between the reference character string and the composition concept. In such a case, with respect to “baroque music” as a reference character string, for each composition concept, 84% of Bach's representative music content, 65% of instructional video on how to compose baroque music, and frequent baroque music The degree of association is set in advance between the reference character string and the composition concept, such as 45%. Then, when the reference character string “baroque music” is selected according to the character string analyzed from the basic information, it may be determined that the characters are related by the percentage of the association degree described above. . And you may make it select the composition concept whose association degree is more than a predetermined threshold value.

  That is, this composition support program can automatically select a composition concept corresponding to the character string obtained by analyzing the basic information and output it. The output of the composition concept 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. Further, the composition concept output 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 composition concept output in this way as a hint, and composes music by demonstrating his creativity. In other words, providing the user with the composition concept leads to support for the user's own composition.

  In the example of FIG. 5, one or more reference character strings are referred to only one reference character string, whereas in the example of FIG. 7, between a plurality of reference character strings. This refers to the relevance of each composition concept to the combination of. By the way, the composition concept is read as the composition concept in FIGS.

  In FIG. 7, as a reference character string, a composition concept A1 having a high degree of association is acquired in advance for a combination of “baroque”, “bright song”, “fast tempo”, and “Gershwin style”. This makes it possible to refer to this when selecting a composition concept from a character string actually analyzed from basic information. For example, if the basic information is “Baroque”, “Bright song”, “Fast tempo”, “Gershwin's style”, the composition concept A1 related to this is highly related. It becomes possible to select. In particular, the intended composition concept can be further narrowed down by combining them with each other rather than the reference character string alone, and the user can effectively select and propose a composition concept that the user really wants. .

  When the overall system 1 is controlled by artificial intelligence, it is possible to learn the relevance (three or more levels of relevance) between the reference character string and the composition concept. In other words, the association between the reference character string and the composition concept as shown in FIG. 5 and the combination between the reference character string and the composition concept as shown in FIG. Go. The renewal of association by this learning is the same as the creation support program described above.

Cooking Recipe Automatic Creation Program Hereinafter, a cooking recipe automatic creation program to which the present invention is applied will be described. This cooking recipe automatic creation program has the same configuration as that of the creation support program described above, but the functions that are newly added will be described.

  The cooking system automatic creation program to which the present invention is applied is executed by the entire system 1 via the cooking recipe automatic creation program installed in the terminal 11. That is, the user can operate the terminal 11 and receive assistance in cooking through the cooking recipe automatic creation program installed therein. This cooking recipe automatic creation program is used as support software when the user cooks himself as a cook as shown in FIG. The cooking recipe automatic creation program is not limited to the case where it is installed on the terminal 11 and used, but is stored in the server 13 and accessed from the terminal 11 side to the server 13 or the public communication network 12 every time it is used. Of course, it may be used.

  At the time of cooking, the process starts from the point where the user himself / herself inputs information regarding the dish to be newly cooked. The dishes to be cooked here are ramen, fried rice, dumplings, gomoku yakisoba, steak, sushi, katsu boiled, kenchin soup, pork soup, curry rice, stir-fried vegetables, stir-fried levanilla, vegetable salad, ham egg, omelet, etc. Is included. As an example of the basic information input by the user, in the case of noodles, the noodles may be hard or soft, the type of topping, the contents of sandwiches or rice balls, the type of seasoning, and the like. In addition, basic information includes information such as whether you are very hungry or not, rough genres such as Italian food, Chinese food, etc., information related to eating subjects such as children and young women who are on a diet, etc. It may be. Further, the basic information may be taste information such as sweet, spicy, sour, and fragrant.

  The basic information may be based on the viewpoint of the dish to be completed as described above, or may be based on the ingredients currently held. For example, when inputting ingredients as basic information, carrots, onions, celery, asparagus, potatoes, tomatoes, pork, umami seasonings, chili oil, soy sauce and the like may be input. Furthermore, as this basic information, information on both the viewpoint of cooking to be completed and the ingredients may be input.

  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. In addition, 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 cooking recipe automatic creation 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.

  After the basic information is acquired in this way, the cooking recipe automatic creation program actually executes the processing operation. The processing operation flow of this cooking recipe automatic creation program proceeds based on the flow shown in FIG. In the cooking recipe automatic creation program, the user is prompted to input basic information in step S11. This basic information may be acquired 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 S12, the basic information input in step S11 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 cooking recipe automatic creation program moves to step S13, and starts searching for a cooking recipe that is highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between the reference character string and the cooking recipe classified into two or more types.

  A cooking recipe contains any information that helps in cooking. These cooking recipes A1, A2, A3, B1, B2, B3, C1, C2, C3,... Are, for example, cooking methods, TV programs, etc. published in all past books and magazines, information on the Internet It is an explanation video etc. of the cooking method introduced in the video. These listed cooking methods are not limited to the entire process from the ingredients to the completion of cooking, but may be a part of the process. In addition, the cooking recipe may be any figure or explanatory text included in teaching materials used at cooking schools, prep schools, etc., or videos of actual lectures and seminars at these schools. The cooking recipe is a concept including all other tools and information necessary for cooking. The cooking recipe may be provided by, for example, sound itself, in addition to the visually recognizable description, picture, video, and the like.

  As this cooking recipe, for example, “100 to 150 g of pork, 1 bitter gourd, 1 onion, 1/2 carrot, 150 ml of soy sauce, 1 teaspoon of sauce, 3 eggs” may be displayed. If it is necessary, a specific explanation of cooking may be included, such as “Cut ○ into 2-3 mm, wash ○ with water, mix ○ and ○, and stir in high heat in a frying pan.” For example, a description may be added with a picture or a photograph.

  As in the example shown in FIG. 5 described in the above-described creation concept, the method of expressing the association is digitally expressed by using a true or false binary value to indicate whether or not the reference character string is associated with the cooking recipe. It may be. 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 overall system 1 acquires the association between the reference character string and the cooking recipe in advance before the analysis in step S13 so that it can be read out at any time. At this time, if the association between the reference character string and the cooking recipe is not stored in its own storage unit 27, it is stored in the server 13, and this server 13 is accessed when step S13 is actually executed. You may make it perform by doing.

  After shifting to step S13, the cooking recipe automatic creation program performs an operation of selecting one or more cooking recipes from the character string extracted from the basic information analyzed in step S12.

  Regarding the selection of the cooking recipe from the character string extracted from the basic information and the information, the association between the reference character string acquired in advance and the cooking recipe may be referred to. For example, when the character string analyzed from the basic information is “potato”, a dish containing such potatoes is searched for as a cooking recipe having a high degree of association with this.

  The character string analyzed from the basic information has some correspondence to 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 cooking recipe that is highly related to the reference character string may be searched. In step S11, if the basic information is input by displaying a 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, a cooking recipe having a high association with the reference character string selected by the user is searched as it is. Incidentally, this cooking recipe search method is the same as the search for the creative concept described above.

  The method for discriminating a cooking recipe having a higher association with the analyzed character string is not limited to the method described above. For example, the association degree may be set in advance between the reference character string and the cooking recipe. In this case, for each cooking recipe, 84% for how to make fried rice, 65% for how to make curry stew, 25% for how to make vegetable salad, etc. A degree of association is set between the character string and the cooking recipe. Then, when the reference character string “Greenpeace” is selected according to the character string analyzed from the basic information, it may be determined that the character string is linked by the% of the association degree described above. . And you may make it select the cooking recipe whose association degree is more than a predetermined threshold value.

  That is, the cooking recipe automatic creation program can automatically select a cooking recipe corresponding to the character string obtained by analyzing the basic information and output it. The output of the cooking recipe 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 cooking recipe 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 cooking recipe output in this way as a hint, and performs cooking while exhibiting his / her creativity. That is, providing a cooking recipe to the user leads to support for the user's own cooking.

  In the example of FIG. 5, the relevance of one or more cooking recipes is referred to a single reference character string, whereas in the example of FIG. This refers to the association with each cooking recipe for the combination. By the way, the creative concept is read as a cooking recipe in FIGS.

  In FIG. 7, when the reference character string is “potato”, “carrot”, “egg”, “bitter gourd”, “pork” and the genre is “Okinawa style”, When a cooking recipe A1 (for example, bitter gourd) having a high degree of association is acquired in advance for the combination, this is referred to when the cooking recipe is actually selected from the character string analyzed from the basic information. It becomes possible. For example, if the basic information is a combination of two or more of “potato”, “carrot”, “egg”, “bitter gourd”, “pork”, “Okinawa style” It is possible to select the associated cooking recipe A1. In particular, it is possible to further narrow down the intended cooking recipe by combining them with each other rather than the reference character string alone, and the user can effectively select and propose the cooking recipe that the user really desires. .

  When the entire system 1 is controlled by artificial intelligence, it is possible to learn the relevance (three or more levels of relevance) between the reference character string and the cooking recipe. That is, the information on the existing cooking is read with the association between the reference character string as shown in FIG. 5 and the cooking recipe, and the association between the combination between the reference character string and the cooking recipe as shown in FIG. It will be updated as needed by learning with artificial intelligence. The renewal of association by this learning is the same as the creation support program described above.

Design Support Program Hereinafter, a design support program to which the present invention is applied will be described. This design support program has the same configuration as the above-described creation support program, but further new functions will be described.

  The design support program to which the present invention is applied is executed by the overall system 1 via the design support program installed in the terminal 11. That is, the user can operate the terminal 11 and receive support for performing design activities through the design support program installed in the terminal 11. As shown in FIG. 3, this design support program is used as support software for the user to design himself as a designer. The design support program is not limited to the case where it is installed on the terminal 11 and used. The design support program is stored in the server 13 and accessed from the terminal 11 side to the server 13 or the public communication network 12 every time it is used. Of course, it may be used.

  The design process starts when the user himself / herself inputs information related to the object or civil structure to be newly designed. The objects of design here include all products including machines, software, plants, business models, office supplies, miscellaneous goods, production equipment, electronic circuits, electronic equipment, ships, flying vehicles, rockets, drones, etc. The civil engineering structure which is a concept and is a design object 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.

  In addition to the above, as basic information, a configuration, function, and effect that are actually to be included in the design target may be input. For example, functions and effects such as safety, reliability, ease of handling, ease of manufacture, cost reduction, low air resistance, silence, and environmental friendliness may be input as basic information. In addition, raw materials such as cement, water glass, alumina, stainless steel, and polycarbonate may be input as basic information. In addition, as a configuration that should be included in practice, there are basically “replaceable jigs”, “electricity instead of gasoline”, “spraying agricultural chemicals”, “lightening less than 10 kg”, “adding 3-4 protrusions”, etc. It may be input as information.

  Further, the basic information may include any information related to the object or the building structure, such as the user of the product, the application method, other additional uses and functions, and the product lifetime.

  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 on which the design 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.

  After the basic information is acquired in this way, the design support program actually executes the processing operation. The processing operation flow of this design support program proceeds based on the flow shown in FIG. In the design support program, the user is prompted to input basic information in step S11. This basic information may be acquired 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 S12, the basic information input in step S11 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 design support program proceeds to step S13, and starts searching for a design concept that is highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between the reference character string and the design concept classified into two or more types.

  The design concept contains all the information that helps in designing. This design concept A1, A2, A3, B1, B2, B3, C1, C2, C3, ..., for example, photos, drawings of objects and civil structures designed by all past architects and design engineers All information such as specifications, structure drawings, and completed drawings are included. The design concept also includes any technical information that can be accessed and obtained via a public communication network such as the Internet. Furthermore, this design concept consists of a distillation column, reboiler, condenser, reflux drum, and reflux pump when the design of a methanol distillation plant is taken as an example. For these, select the best equipment for each situation. It will be done. Multiple types of distillation columns described in catalogs and manuals can be the design concept. Each of the screws and tools used to install the distillation column can also be a design concept. Furthermore, a material balance, a heat balance, an energy balance, a design method taking account of equilibrium, etc., parameters such as a condensation curve, etc. necessary for the plant design are included.

  Thus, the design concept is a concept including any information necessary for designing. The design concept may be provided by, for example, video or audio in addition to the visually recognizable explanatory text or picture.

  As in the example shown in FIG. 5 described in the above-described creation concept, this method of expressing the association is digitally expressed by using a true or false binary value to indicate whether the reference character string is associated with the design concept. It may be. 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 design concept in advance before the analysis in step S13 so that it can be read out at any time. At this time, if the association between the reference character string and the design 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 design support program performs an operation of selecting one or more design concepts from the character string extracted from the basic information analyzed in step S12.

  Regarding the selection of the design concept from the character string or information extracted from the basic information, the association between the reference character string acquired in advance and the design concept may be referred to. For example, when designing a heat exchanger, the character string analyzed from the basic information is `` the gas-liquid ratio at the heat exchanger inlet is OO '', `` the gas composition at the heat exchanger is ◯ '', `` If you want to lower the evaporation start temperature, etc., as a design concept that is highly related to this, a heat exchanger that meets these conditions, such as `` Product No. XX heat exchanger manufactured by XX '', etc. No. itself, calculation formulas and calibration curves necessary for such design, manuals for selecting materials, various design standards, past design examples, etc. are defined And

  The character string analyzed from the basic information has some correspondence to 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 is related, a design concept that is highly related to the reference character string may be searched. In step S11, if the basic information is input by displaying a 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, a design concept that is highly related to the reference character string selected by the user is searched as it is. Incidentally, the search method for this design concept is the same as the search for the creative concept described above.

  A 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, the association degree may be set in advance between the reference character string and the design concept. In this case, for the “ethanol synthesis plant” as a reference character string, for each design concept, the calibration curve required for setting the reaction temperature is 84%, and the manual for calculating the heat balance is 65%. The relationship between the reference character string and the design concept is set in advance, such as 45% of design examples of ethanol synthesis plants delivered in the past by XX company and 34% of distiller catalogs required for distillation operation. Yes. Then, when the reference character string “ethanol synthesis plant” is selected according to the character string analyzed from the basic information, it may be determined that it is linked by the above-mentioned% of the relevance. Good. A design concept having an association degree equal to or higher than a predetermined threshold may be selected.

  That is, the design support program can automatically select a design concept corresponding to the character string obtained by analyzing the basic information and output it. The output of the design concept 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 design 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 design concept output in this way as a hint, and performs his / her creativity in designing. In other words, providing the design concept to the user leads to support for the user's own design.

  In the example of FIG. 5, one or more reference concepts are associated with one reference character string, whereas in the example of FIG. 7, multiple references are made. This refers to the relevance of each design concept to the combination of character strings. By the way, the creation concept is replaced with the design concept in FIGS.

  In FIG. 7, as a reference character string, for a combination of “chemical plant piping”, “gas flow rate ○ l / hour”, “gas molecular weight ○○”, and “pipe length ○○ m”, By acquiring a design concept A1 having a high value in advance, it is possible to refer to this when selecting a design concept from a character string actually analyzed from basic information. For example, if the basic information is “Chemical plant piping”, “Gas flow rate ○ l / hour”, “Gas molecular weight ○○”, “Pipe length ○○ m”, It becomes possible to select the design concept A1 related as high. In particular, the intended design concept can be further narrowed down by combining them with each other rather than the reference character string alone, and the user can effectively select and propose the design concept that the user really wants. .

  When the entire system 1 is controlled by artificial intelligence, it is possible to learn the relevance (three or more levels of relevance) between the reference character string and the design concept. In other words, the existing design data and the like are read with the association between the reference character string as shown in FIG. 5 and the design concept, and the association between the combination between the reference character string and the design concept as shown in FIG. And will be updated as needed by learning with artificial intelligence. The renewal of association by this learning is the same as the creation support program described above.

Design Support Program Hereinafter, a design support program to which the present invention is applied will be described. This design support program has the same configuration as that of the creation support program described above, but further new functions will be described.

  The design support program to which the present invention is applied is executed by the overall system 1 via the design support program installed in the terminal 11. That is, the user can operate the terminal 11 and receive support in performing design activities through the design support program installed in the terminal 11. As shown in FIG. 3, this design support program is used as support software for the user to design himself as a designer. The design support program is not limited to the case where it is installed on the terminal 11 and used. The design support program is stored in the server 13 and accessed from the terminal 11 side to the server 13 or the public communication network 12 every time it is used. Of course, it may be used.

  The design process starts from the point where the user himself / herself inputs information regarding the items to be attached to the person who is newly designing. The design object here may be anything that can be worn by a person, such as clothes, shoes, trousers, hats, glasses, bags, accessories, rings, nails, earrings, ties, Ribbon etc.

  Examples of the basic information input by the user may be the type, color tone, shape, pattern, brightness, age, gender, etc. of the person to be worn. In addition, as information input by the user, what kind of situation (for example, when wearing an alumni association, when hunting, ceremonial occasions, etc.) is related to the attachment to be designed. All information is included.

  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. The 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 on which the design 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.

  After the basic information is acquired in this way, the design support program actually executes the processing operation. The processing operation flow of this design support program proceeds based on the flow shown in FIG. In the design support program, the user is prompted to input basic information in step S11. This basic information may be acquired 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 S12, the basic information input in step S11 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 design support program proceeds to step S13, and starts searching for a design concept that is highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between the reference character string and the design concept classified into two or more types.

  The design concept contains all the information that helps in designing. These design concepts A1, A2, A3, B1, B2, B3, C1, C2, C3, etc. are, for example, images of wearable items designed by all past designers and diagrams that are easy to understand. Or an explanatory note, a video, or the like. The design concept also includes images, figures, explanations, and videos relating to any wearable items that can be accessed via a public communication network such as the Internet. The design concept may also be a drawing, a description, a video, etc. for giving a lecture on the design method, composition method, and the like. In addition, this design concept includes all the diagrams and explanations included in the design materials used at technical high schools, art colleges, art colleges, prep schools, etc., as well as videos of actual lectures and seminars at these schools. May be. The design concept is a concept including all other tools and information necessary for design.

  As in the example shown in FIG. 5 described in the creative concept described above, this method of expressing the association is digitally expressed by using a true or false binary value to indicate whether the reference character string is associated with the design concept. It may be. 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 design concept in advance before analysis in step S13 so that it can be read out at any time.

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

  Regarding the selection of the design concept from the character string extracted from the basic information and the information, the association between the reference character string acquired in advance and the design concept may be referred to. For example, when the character string analyzed from the basic information is “kid's T-shirt”, such a child's T-shirt is searched for as a design concept having a high degree of association.

  The character string analyzed from the basic information has some correspondence to 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 design concept highly related to the reference character string may be searched. In step S11, if the basic information is input by displaying a 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, a design concept that is highly related to the reference character string selected by the user is searched as it is. Incidentally, this design concept search method is the same as the search for the creative 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 design concept. In such a case, 84% of the photos of a popular character's T-shirt designed by XX Company for each design concept against “Children's T-shirt” as a reference character string. The degree of association is set in advance between the reference character string and the design concept, such as 65% for instructional videos on how to do this and 45% for long-sleeve clothing designs for children. When the reference character string “T-shirt for children” is selected according to the character string analyzed from the basic information, it is determined that the character string is linked by the above-mentioned% of the relevance. May be. A design concept having an association degree equal to or higher than a predetermined threshold may be selected.

  That is, this design support program can automatically select a design concept corresponding to the character string obtained by analyzing the basic information and output it. The output of the design concept 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 design 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 design concept output in this way as a hint, and performs his / her creativity to design the attachment. That is, providing the design concept to the user leads to the user's own design support.

  In the example of FIG. 5, one or more reference character strings are referred to one reference character string, whereas in the example of FIG. 7, a plurality of reference character strings are connected. This refers to the relevance of each design concept to the combination. By the way, the creation concept is read as the design concept in FIGS.

  In FIG. 7, as a reference character string, a design concept A1 having a high degree of association with a combination of “children's T-shirt”, “man's”, “train picture”, and “blue-based” is previously stored. By acquiring this, it is possible to refer to this when selecting a design concept from a character string actually analyzed from basic information. For example, if the basic information is "Children's T-shirt", "Men's", "Train picture", or "Blue base", this is related to a highly related item. The design concept A1 can be selected. In particular, the intended design concept can be further narrowed down by combining them with each other rather than the reference character string alone, and the user can effectively select and propose the design concept that the user really wants. .

  When the entire system 1 is controlled by artificial intelligence, it is possible to learn the relevance (three or more levels of relevance) between the reference character string and the design concept. In other words, by loading the existing various designs with the relationship between the reference character string as shown in FIG. 5 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. The renewal of association by this learning is the same as the creation support program described above.

Sentence Creation Support Program Hereinafter, a sentence creation support program to which the present invention is applied will be described. This sentence creation support program has the same configuration as that of the creation support program described above, but further new functions will be described.

  The entire system 1 executes the sentence creation support program to which the present invention is applied via the sentence creation support program installed in the terminal 11. That is, the user can operate the terminal 11 and receive support for performing composition activities through the sentence creation support program installed in the terminal 11. As shown in FIG. 3, this text creation support program is used as support software for a user to create text by himself. The sentence creation support program is not limited to the case where it is installed on the terminal 11 and used, but is stored in the server 13 and accessed from the terminal 11 side to the server 13 or the public communication network 12 each time it is used. Of course, it may be used.

  The sentence creation process starts when the user inputs information about a sentence to be newly written. The sentences to be written here 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.

Examples of basic information entered by this user include the genre, theme, content, field, expression of thoughts and emotions, technical composition, and effects, as well as readership and authors to be referred to. Or the name of the work.

  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 text 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.

  After the basic information is acquired in this way, the sentence creation support program actually executes the processing operation. The processing operation flow of this text creation support program proceeds based on the flow shown in FIG. In the text creation support program, the user is prompted to input basic information in step S11. This basic information may be acquired 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 S12, the basic information input in step S11 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 sentence creation support program proceeds to step S13, and starts searching for a composition concept that is highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between the reference character string and the composition concept classified into two or more types.

  The composition concept contains all the information that helps in the composition of the sentence. These composition concepts A1, A2, A3, B1, B2, B3, C1, C2, C3, etc. are, for example, novels, essays, editorials, and patents published in patent gazettes written by all past writers. It may be based on past sentence examples such as specifications, magazines and newspaper articles. The composition concept includes sentences described in all sites that can be accessed through a public communication network such as the Internet. Furthermore, this composition concept also includes images, diagrams, explanatory sentences, and videos showing the sentence creation theory. In addition, the composition concept may be any drawing or explanatory text included in textbooks used in high schools, universities, vocational schools, prep schools, etc., or videos of actual lectures and seminars at these schools. The composition concept is a concept that includes all the tools and information necessary for creating other sentences. The composition concept may be provided by, for example, sound itself, in addition to the visually recognizable description or picture.

  As in the example shown in FIG. 5 described in the above-described creative concept, this method of expressing the association is digitally expressed by using a true or false binary value as to whether or not the reference character string and the composition concept are associated. It may be. 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 composition concept in advance before analysis in step S13 so that it can be read out at any time.

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

  Regarding the selection of the composition concept from the character string or information extracted from the basic information, the association between the reference character string acquired in advance and the composition concept may be referred to. For example, when a user who wants to create a patent specification inputs “dog wiping of dog” as basic information, a patent publication actually filed for wiping the dog's buttocks is displayed as a composition concept. As for these composition concepts, for example, text data of a patent gazette acquired from the patent information platform of the Patent Office may be databased in the server 13 or the like, and read out as necessary. The patent specification of “Dog's bottom wipe” is searched in the database using, for example, an existing keyword search technique, and the PDF or text data of the patent specification relating to the dog ’s bottom wipe is displayed or output. Also good.

  The character string analyzed from the basic information has some correspondence to 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 composition concept that is highly related to the reference character string may be searched. In step S11, if the basic information is input by displaying a 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, a composition concept that is highly related to the reference character string selected by the user is searched. Incidentally, the method of searching for the composition concept is the same as the search for the creative concept described above.

  The method for discriminating a composition concept having a higher association with the analyzed character string is not limited to the method described above. For example, the association degree may be set in advance between the reference character string and the composition concept. In such a case, 84% of the patent specifications related to wiping the dog's butt, 65% of the manual for how to keep a pet dog, The degree of association is set in advance between the reference character string and the composition concept, such as 30% for a patent specification relating to wiping the cat's butt. 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 composition concept having an association degree equal to or higher than a predetermined threshold may be selected.

  In other words, this sentence creation support program can automatically select a composition concept corresponding to this from a character string obtained by analyzing basic information and output it. The output of the composition concept 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 composition concept output 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 composition concept output in this way as a hint, and creates his / her own creativity to create a sentence. That is, providing the user with a composition concept leads to the user's own composition support.

  In the example of FIG. 5, the relevance of one or more composition concepts is only referred to a single reference character string, whereas in the example of FIG. 7, between a plurality of reference character strings This refers to the relevance of each composition concept to the combination. By the way, the creative concept is read as a composition concept in FIGS.

  In FIG. 7, as a reference character string, a composition concept A1 having a high degree of association is acquired in advance for a combination of “patent specification”, “dog wipes”, and “adhesive layer material”. Thus, it is possible to refer to the composition concept when selecting the composition concept from the character string actually analyzed from the basic information. As an example of this composition concept A1, it is assumed that it is a sentence of a paragraph which mentions the material of the adhesive layer in the patent specification regarding wiping the dog's bottom.

  If the basic information entered here is "patent specification", "dog wiping", or "adhesive layer material", the composition that is related to this as a highly related item The concept A1 can be selected. In particular, the intended composition concept can be further narrowed down by combining them with each other rather than the reference character string alone, and the user can effectively select and propose the composition concept that the user really wants. .

  In addition, as a reference character string, for a combination of “patent specification”, “dog wiping”, “action and effect”, a composition concept A1 with a high degree of association, a patent specification relating to dog wiping By associating a paragraph with reference to the operational effect, when the basic information is input, it is possible to output the description of the specification of the paragraph.

  In addition, as a reference character string, a patent specification relating to wiping the dog's butt as a writing concept A1 having a high degree of association with the combination of "patent specification", "dog's wiping", and "wiping butt's shape" Thus, by associating a paragraph with reference to the shape of the bottom wipe, when the basic information is input, it is possible to output the description of the specification of the paragraph.

  In addition, as a reference character string, as a composition concept A1 having a high degree of association with a combination of “patent specification”, “dog wiping”, and “wiping method by wiping”, a patent specification relating to dog's wiping By associating a paragraph with a reference to the wiping method by wiping the tail in a book, when the basic information is input, it is possible to output the description of the specification of the paragraph.

  In this way, the user can acquire a description of a desired part from a past publication for a patent specification that he / she actually wants to write, and proceed with the creation of his / her patent specification with reference to the acquired description. Can do. For this reason, it is possible to receive text creation support by the text creation support program to which the present invention is applied.

  When the entire system 1 is controlled by artificial intelligence, it is possible to learn the relevance (three or more degrees of relevance) between the reference character string and the composition concept. That is, the relationship between the reference character string and the composition concept as shown in FIG. 5, the combination between the reference character string and the composition concept as shown in FIG. It is read and updated as needed by learning with artificial intelligence. The renewal of association by this learning is the same as the creation support program described above.

Mark Creation Support Program Hereinafter, a mark creation support program to which the present invention is applied will be described. This mark creation support program has the same configuration as that of the creation support program described above, but further new functions will be described.

  The mark creation support program to which the present invention is applied is executed by the overall system 1 via the mark creation support program installed in the terminal 11. That is, the user can operate the terminal 11 and receive support for performing a creation activity through the mark creation support program installed on the terminal 11. This mark creation support program is used as support software for a user to create a mark by himself as shown in FIG. The mark creation support program is not limited to use when installed on the terminal 11, but is stored in the server 13 and accessed from the terminal 11 side to the server 13 or the public communication network 12 each time it is used. Of course, it may be used.

  The mark creation process starts when the user inputs information about a mark to be newly created. The mark to be created here may be any mark as long as it falls under the mark of the Trademark Law, for example, a brand name, a company name, various namings, and a logo of them.

  Examples of basic information input by this user include information on products and services to which the mark to be created will be created, products and services to which the mark is attached, environments and situations in which the service is used, It is a field of service or a classification symbol.

  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 in which the mark 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.

  After the basic information is acquired in this way, the mark creation support program actually executes the processing operation. The processing operation flow of the mark creation support program proceeds based on the flow shown in FIG. In the mark creation support program, the user is prompted to input basic information in step S11. This basic information may be acquired 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 S12, the basic information input in step S11 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 mark creation support program moves to step S13, and starts searching for a mark creation concept highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between the reference character string and the mark creation concept classified into two or more types.

  The mark creation concept includes any information that helps in creating a mark. This mark creation concept A1, A2, A3, B1, B2, B3, C1, C2, C3,... Is, for example, any past brand name, trademark name (character trademark), mark logo, or mark. It may be a chart, explanatory text, video, etc. that establishes chapter and brand development in an easy-to-understand manner. The mark creation concept also includes images, figures, explanations, and videos related to all marks, brands, and trademarks accessible via a public communication network such as the Internet. In addition, the mark creation concept may be a drawing, a description, a video, or the like for lectures on a design method, composition, and the like. The concept of mark creation is based on the design and brand development used in technical high schools, art colleges, art vocational schools, prep schools, etc. Video of lectures and seminars. The mark creation concept is a concept that includes all other tools and information necessary for mark creation.

  As in the example shown in FIG. 5 described in the above-described creation concept, this association expression method digitally represents the presence / absence of association between the reference character string and the mark creation concept using a true or false binary value. You may make it do. 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 overall system 1 acquires the association between the reference character string and the mark creation concept in advance before analysis in step S13 so that it can be read out at any time.

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

  Regarding the selection of the mark creation concept from the character string or information extracted from the basic information, the association between the reference character string acquired in advance and the mark creation concept may be referred to. For example, if the character string analyzed from the basic information is "Marine sports equipment", search for a brand used in such marine sports equipment as a mark creation concept that is highly related to this. Become.

  The character string analyzed from the basic information has some correspondence to 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 mark creation concept that is highly related to the reference character string may be searched. In step S11, if the basic information is input by displaying a 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 directly searched for a mark creation concept that is highly related to it. By the way, the method of searching for the mark creation concept is the same as the search of the creation concept described above.

  The method of discriminating the mark creation concept that is more related to 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 mark creation concept. In such a case, the brand name ●●● is 84%, the brand name △△△ consisting of an italic logo is 65%, The degree of association is set in advance between the reference character string and the mark creation concept, such as 45% of the brand name XXX whose character color has been changed in two steps with a Gothic logo. Then, when the reference character string “women's clothing” is selected in accordance with the character string analyzed from the basic information, it may be determined that the association is performed by the percentage of the above-described association degree. . A design concept having an association degree equal to or higher than a predetermined threshold may be selected.

  That is, the mark creation support program can automatically select a mark creation concept corresponding to the character string obtained by analyzing the basic information and output it. The output of the mark creation concept may be displayed on the display unit 26 via the output I / F 16, may be notified by voice, or externally via the data input / output unit 29. May be sent to. The output of the mark creation 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 creates a mark by using his / her creativity by using the mark creation concept output in this way as a hint. In other words, providing the user with the mark creation concept leads to the user's own design support.

  In the example of FIG. 5, the relevance of one or more mark creation concepts is referred to a single reference character string, whereas in the example of FIG. 7, a plurality of reference characters are referred to. This refers to the relevance of each mark creation concept for combinations between columns. By the way, the creation concept is replaced with the mark creation concept in FIGS.

  In FIG. 7, as a reference character string, a mark creation concept A1 having a high degree of association is acquired in advance for a combination of “Japanese confectionery”, “matcha flavor”, “luxury”, and “moist texture”. This makes it possible to refer to this when selecting a mark creation concept from a character string actually analyzed from basic information. This mark creation concept A1 is a brand name or mark frequently used for such a matcha-flavored Japanese confectionery that has a high-class and moist touch, or is necessary for such brand development. It may be an explanatory text or video for teaching knowledge.

  And if the input basic information is “Japanese confectionery”, “Matcha taste”, “Luxury”, “Moist texture”, it is related as a highly related item. The mark creation concept A1 can be selected. In particular, it is possible to narrow down the intended mark creation concept by combining them with each other rather than the reference character string alone, and effectively select and propose the mark creation concept that the user really wants. Is also possible.

  For example, the designated character string for the reference and the designated product of the trademark, the designated service, and the association (including three or more degrees of association) may be provided. Then, the relationship between the reference character string associated with the designated product and the mark creation concept is acquired in advance. At this time, as the mark creation concept, the designated product, the registered trademark naming or logo of the designated service may be set. As a result, when a designated product or designated service is input as basic information, it is possible to immediately display the naming or logo of a registered trademark of the designated product or the like to the user.

  When the overall system 1 is controlled by artificial intelligence, it is possible to learn the relevance (three or more degrees of relevance) between the reference character string and the mark creation concept. In other words, it is possible to connect existing reference designs with the relationship between the reference character string as shown in FIG. 5 and the mark creation concept, and the relationship between the reference character string as shown in FIG. 7 and the mark creation concept. It is updated as needed by learning with artificial intelligence. The renewal of association by this learning is the same as the creation support program described above.

Business Model Idea Support Program Hereinafter, a business model idea support program to which the present invention is applied will be described. This business model design support program has the same configuration as the above-described creation support program, but further new functions will be described.

  The business model planning support program to which the present invention is applied is executed by the overall system 1 via the business model planning support program installed in the terminal 11. That is, the user can operate the terminal 11 and receive support for performing design activities through the business model design support program installed in the terminal 11. As shown in FIG. 3, this business model design support program is used as support software for a user to design and design a business model. The business model proposal support program is not limited to the case where it is installed on the terminal 11 and used, but is stored in the server 13 and accessed from the terminal 11 side to the server 13 or the public communication network 12 each time it is used. Of course, it may be used.

  The business model design process starts when the user inputs information on a business model to be newly designed. The business model to be proposed here may be in any business field.

  Examples of basic information input by this user include all information in the business model that is to be proposed, and target customers, value provided to customers, market information, collaborating partners Information, financial information, products and services actually sold, channels, sales prices, advertising activities, etc.

  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. In addition, text data created by a 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 in which the business model proposal support program is actually installed.

  Further, the basic information may be information that the entire system 1 automatically accesses and takes in the public communication network 12 except when the user inputs the basic information.

  After the basic information is acquired in this way, the business model planning support program actually executes the processing operation. The processing operation flow of this business model design support program proceeds based on the flow shown in FIG. In the business model planning support program, the user is prompted to input basic information in step S11. This basic information may be acquired 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 S12, the basic information input in step S11 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 business model planning support program moves to step S13, and starts searching for a concept that is highly related to the character string and information extracted in step S12. Before performing this search, the terminal 11 acquires in advance the association between the reference character string and the idea concept classified into two or more types.

  The idea concept contains all the information that helps in designing. This idea concept A1, A2, A3, B1, B2, B3, C1, C2, C3, etc. is, for example, explanatory text, diagrams, photographs, videos, etc. for explaining business models in all past business There may be. The idea concept also includes images, diagrams, explanations, and videos related to all business models accessible via a public communication network such as the Internet. The idea concept may be the contents of a manual book for building a business model, diagrams, explanations, videos, etc. for opening up the lecture and giving a lecture. In addition, this idea concept may be any figure or explanation included in the teaching material for the business model idea used in a business school or MBA, or an image of an actual lecture or seminar at these schools. The idea concept is a concept that includes all other tools and information necessary for design.

  As in the example shown in FIG. 5 described in the above-described creative concept, this method of expressing the association is digitally expressed by using a true or false binary value to indicate whether or not the reference character string is associated with the idea concept. It may be. 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 idea concept in advance before the analysis in step S13 so that it can be read out at any time.

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

  Regarding the selection of the idea concept from the character string extracted from the basic information and the information, the association between the reference character string acquired in advance and the idea concept may be referred to. For example, if the character string analyzed from the basic information is “dog ass wiping goods”, as a concept concept with a high degree of association with this, is the development, production, or sale of such pet supplies handled? An example of a business model or an example of a business model that has succeeded in other industries other than pet supplies may be shown, and an suggestion for confirming the possibility of diversion to the pet supplies may be given.

  The character string analyzed from the basic information has some correspondence to 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 concept concept that is highly related to the reference character string may be searched for. In step S11, if the basic information is input by displaying a 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, an idea concept that is highly related to the reference character string selected by the user is searched as it is. By the way, the method of searching for the idea concept is the same as the search of the creative concept described above.

  The method for discriminating the idea 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 idea concept. In such a case, for each idea concept for “children's clothing” as a reference character string, 84% of explanations of examples of construction of mail-order distribution channels in the apparel field, examples of brand strategy and promotion in the apparel field An explanation video about 65%, manual book that describes an example of taking a low-price strategy by collaborating with a Chinese company, 45%, etc. between the reference string and the idea concept in advance Relevance is set in. Then, when the reference character string “children's clothing” is selected according to the character string analyzed from the basic information, it may be determined that the items are related by the percentage of the above-described association degree. . A design concept having an association degree equal to or higher than a predetermined threshold may be selected.

  In the present invention, a variety of business models that have been categorized in advance are acquired as a concept, and when the concept is selected, the business model types of the above-described concept concepts with high association are shown. Also good.

  In other words, this business model idea support program can automatically select an idea concept corresponding to the character string obtained by analyzing the basic information and output it. The output of the proposal concept may be displayed on the display unit 26 through the output I / F 16, may be notified by voice, or transmitted to the outside through the data input / output unit 29. May be. Further, the output of the conception 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 idea concept thus output as a hint, and uses his / her creativity to design and design a business model. In other words, providing the user with an idea concept leads to support for the user's own business model idea.

  In the example of FIG. 5, one or more reference concepts are referred to one reference character string, whereas in the example of FIG. 7, a plurality of reference character strings are connected. This refers to the relevance of each idea concept to the combination of. By the way, the creative concept is read as the idea concept in FIGS.

  In FIG. 7, as a reference character string, the idea concept A1 having a high degree of association is acquired in advance for the combination of “children's clothes”, “mail order”, and “cheap”, so that the basic information is actually obtained. This can be referred to when selecting a concept from the analyzed character string. For example, when the basic information is “children's clothing”, “mail order”, or “cheap”, it is possible to select the concept A1 that is related to the basic information. In particular, it is possible to further narrow down the intended idea concept by combining them with each other rather than the reference character string alone, and it is also possible to effectively select and propose the idea concept that the user really desires. .

  When the entire system 1 is controlled by artificial intelligence, it is possible to learn the relevance (three or more degrees of relevance) between the reference character string and the idea concept. In other words, by loading the existing various designs with the association between the reference character string and the idea concept as shown in FIG. 5 and the association between the reference character string and the idea concept as shown in FIG. It is updated from time to time by learning with artificial intelligence. The renewal of association by this learning is the same as the creation support program described above.

  Hereinafter, points common to the creation support program, composition support program, cooking recipe automatic creation program, design support program, design support program, sentence creation support program, mark creation support program, business model creation support program according to the present invention described above Will be explained.

  Deep learning is used to learn the association between the reference character string and the idea concept as shown in FIG. 5 and the association between the combination of the reference character string and the idea concept as shown in FIG. Alternatively, a neural network (including a single hidden 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 represented by a numerical value of three or more levels, when a plurality of concepts are selected, it is possible to search and display in the order of concepts having the highest degree of association. This highly related concept is more likely to be a useful solution for users due to previous trends. It can be said that there is an advantageous effect in that it can be displayed to the user in order from the concept that has a high possibility of adoption.

  In addition, according to the present invention, it is possible to make a determination without overlooking the link between the reference character string and the concept having an extremely low association degree of 1%. Even if the concept is very low in association with the designated reference character string but connected as a slight sign, a useful hint may be shown to the user any number of times or every tens of times. When the concepts 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 connected Retry can be performed based on a certain concept.

  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 value is lowered, even if the above-mentioned association degree is 1%, it can be picked up without omission, but on the other hand, there are cases where many concepts with low possibility are picked up. On the other hand, if the threshold value is increased, only the highly probable concept 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.

  Further, based on the above-described creation support program, composition support program, cooking recipe automatic creation program, design support program, design support program, sentence creation support program, mark creation support program, business model creation support program according to the present invention described above. After performing various creations, creations, and creation activities, it is possible to input which concept the user has adopted among the output concepts. When such concept adoption information is input, the creation support program or the like may reflect the adoption information on the association between the reference character string and the concept. That is, for the reference character string highly related to the adopted concept, the degree of association may be further increased by several points. In addition, since the concept that is not included in the selection information among the output concepts is a concept that is unlikely to be actually selected by the user, the reference character string that is highly related to the concept is further The degree of association may be lowered by several points.

  Incidentally, not only the past history information of the terminal 11 using this system described above but also all the Internet information that can be acquired through the public communication network, the big data, when this artificial intelligence learns Data may be used. In addition, access to patent information that can be obtained from the patent information platform of the JPO, and obtain the relationship between the character string and the concept, thereby updating the association between the reference character string and the concept through learning using artificial intelligence. It may be a thing.

  Furthermore, according to the present invention, a specific creation, design, mark, or the like may be searched and displayed based on a character string extracted from basic information or various proposed concepts. Or you may make it search for the structure of a concrete invention based on both the character string extracted from basic information, and various proposed concepts, and may display this. In either case, these operations may be performed via artificial intelligence.

  In such a case, the extracted character strings are “dog”, “wipe ass”, “fingertip”, “seal”, “polybag”, “efficiency of feces”, and various concepts are “fitness” In the case of a “design that improves”, it is possible to draw simply by combining image materials on the Internet, etc., up to the point where a seal-like dog wipe is attached to a plastic bag.

  Next, the character strings “fingertip” and “feces removal efficiency” and the concept “improvement of fit” are read out, and further configuration is added to the wiped body. For example, an explanatory note or an image provided with a groove that fits the fingertip may be taken in from the Internet because of the fingertip and fit. From the word “fitness”, for example, information is extracted from the Internet, etc., and it is found that there is an encircling body that surrounds the object in order to realize fit, and this encircling body finds up to the finger only be able to. And it can be extracted as a well-known technique from the Internet or the like that a seal body may be formed in a groove shape to surround the finger.

  In this way, the finally completed form is displayed on the display unit 26. When the user understands the displayed form, the concept can be summarized and commercialized.

1 Overall 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 (32)

Mining step to extract information according to the creation to be newly created,
Referencing three or more levels of association between each reference character string acquired in advance and the creation concept classified into two or more types, 3 of the reference character string and the creation concept corresponding to the information extracted in the mining step A creation support program that causes a computer to execute a search step for searching for one or more creation concepts based on a degree of association at a stage or more. A mining step of extracting a character string from information according to a creation to be newly created;
Referencing three or more levels of association with each creative concept for a combination between a plurality of reference character strings acquired in advance, and a combination between a plurality of reference character strings corresponding to the plurality of character strings extracted in the mining step A creation support program that causes a computer to execute a search step for searching for one or more creative concepts based on three or more levels of association with each creative concept. A mining step to extract information about the music to be newly created,
Referencing three or more levels of association between each reference character string acquired in advance and each composition concept classified into two or more types, the reference character string and composition concept according to the information extracted in the mining step A composition support program that causes a computer to execute a search step for searching for one or more composition concepts based on three or more levels of association. A mining step to extract a character string from information about music to be newly created,
Referencing three or more levels of association with each composition concept for a combination between a plurality of reference character strings acquired in advance, and a combination between a plurality of reference character strings corresponding to the plurality of character strings extracted in the mining step A composition support program that causes a computer to execute a search step for searching for one or more composition concepts based on three or more levels of association with each composition concept. A mining step to extract information about the dish to be newly made,
Referencing three or more levels of association between each reference character string acquired in advance and each cooking recipe classified into two or more types, the reference character string corresponding to the information extracted in the mining step and the cooking recipe An automatic cooking recipe creation program causing a computer to execute a search step for searching for one or more cooking recipes based on three or more levels of association. A mining step to extract a character string from information about a dish to be newly made,
A combination between a plurality of reference character strings corresponding to a plurality of character strings extracted in the mining step with reference to three or more levels of association with each cooking recipe for a combination between a plurality of reference character strings acquired in advance An automatic cooking recipe creation program that causes a computer to execute a search step for searching for one or more cooking recipes based on three or more levels of association with each cooking recipe. A mining step for extracting information on the object or the earthen structure to be newly designed;
The reference character strings and design concepts corresponding to the information extracted in the mining step are referred to with reference to three or more degrees of association between each reference character string acquired in advance and each design concept classified into two or more types. A design support program that causes a computer to execute a search step for searching for one or more design concepts based on three or more levels of association. A mining step for extracting a character string from information on an object or a civil structure to be newly designed;
Referencing three or more levels of association with each design concept for a combination between a plurality of reference character strings acquired in advance, and a combination between a plurality of reference character strings corresponding to the plurality of character strings extracted in the mining step A design support program that causes a computer to execute a search step for searching for one or more design concepts based on three or more levels of association with each design concept. A mining step to extract information about the attachment to the person who is going to newly design,
Referencing the degree of association between three or more stages of each reference character string acquired in advance and each design concept classified into two or more types, the reference character string and design concept corresponding to the information extracted in the mining step A design support program that causes a computer to execute a search step for searching for one or more design concepts based on three or more levels of association. A mining step to extract a character string from information about the attachment to a person who is newly designing,
Referencing three or more levels of association with each design concept for combinations between a plurality of reference character strings acquired in advance, and combinations between a plurality of reference character strings corresponding to the plurality of character strings extracted in the mining step A design support program that causes a computer to execute a search step for searching for one or more design concepts based on three or more levels of association with each design concept. A mining step to extract information about a sentence or poetry to be newly created;
Referencing three or more levels of association between each reference character string acquired in advance and each composition concept classified into two or more types, and the reference character string and composition concept according to the information extracted in the mining step A sentence creation support program that causes a computer to execute a search step for searching for one or more composition concepts based on three or more levels of association. A mining step for extracting a character string from information on a sentence or poetry to be newly created;
Referencing three or more levels of association with each composition concept for a combination between a plurality of reference character strings acquired in advance, and a combination between a plurality of reference character strings corresponding to the plurality of character strings extracted in the mining step A sentence creation support program that causes a computer to execute a search step for searching for one or more composition concepts based on three or more levels of association with each composition concept. Mining step to extract information according to the mark to be newly created,
Reference character string and mark creation according to the information extracted in the mining step referring to the degree of association of three or more levels of each reference character string acquired in advance and the mark creation concept classified into two or more types A mark creation support program that causes a computer to execute a search step for searching for one or more mark creation concepts based on three or more levels of association with the concept. A mining step to extract a character string from information according to a mark to be newly created,
Between reference character strings corresponding to a plurality of character strings extracted in the mining step with reference to three or more levels of association with each mark creation concept for combinations between a plurality of reference character strings acquired in advance A mark creation support program that causes a computer to execute a search step for searching for one or more mark creation concepts based on three or more levels of association with each mark creation concept with respect to the combination. A mining step to extract information according to the business model to be newly proposed,
Referencing three or more levels of association between each reference character string acquired in advance and the idea concept classified into two or more types, 3 of the reference character string and the idea concept corresponding to the information extracted in the mining step A business model idea support program, which causes a computer to execute a search step for searching for one or more idea concepts based on the degree of association at a stage or more. A mining step to extract information according to the business model to be newly proposed,
Referencing three or more levels of association with each idea concept for a combination between a plurality of reference character strings acquired in advance, and a combination between a plurality of reference character strings corresponding to the plurality of character strings extracted in the mining step A business model design support program that causes a computer to execute a search step for searching for one or more concept concepts based on three or more levels of association with each concept concept. Mining means to extract information according to the creation to be newly created,
Referencing the degree of association of three or more stages between each reference character string acquired in advance and the creation concept classified into two or more types, the reference character string and the creation concept according to the information extracted by the mining means A creation support system characterized by comprising search means for searching for one or more creation concepts based on three or more levels of association. A mining means for extracting a character string from information corresponding to a creation to be newly created;
Referencing three or more levels of association with each creative concept for a combination between a plurality of reference character strings acquired in advance, and between a plurality of reference character strings corresponding to the plurality of character strings extracted by the mining means A creation support system characterized by comprising search means for searching for one or more creation concepts based on three or more levels of association with each creation concept for the combination. Mining means to extract information about music to be newly created,
Reference character strings and composition concepts according to the information extracted by the mining means with reference to three or more levels of association between each reference character string acquired in advance and each composition concept classified into two or more types And a search means for searching for one or more composition concepts based on three or more levels of association. Mining means to extract character strings from information about music to be newly created,
Referencing three or more levels of association with each composition concept for combinations between a plurality of reference character strings acquired in advance, and combinations between a plurality of reference character strings corresponding to the plurality of character strings extracted by the mining means A composition support system comprising search means for searching for one or more composition concepts based on three or more levels of relevance to each composition concept. Mining means to extract information about new dishes to be made,
Reference character strings and cooking recipes according to information extracted by the mining means with reference to three or more levels of association between each reference character string acquired in advance and each cooking recipe classified into two or more types And a search means for searching for one or more cooking recipes based on three or more levels of association. A mining means for extracting a character string from information on a dish to be newly made,
Referencing three or more levels of association with each cooking recipe for a combination between a plurality of reference character strings acquired in advance, and between a plurality of reference character strings corresponding to the plurality of character strings extracted by the mining means A cooking recipe automatic creation system comprising: search means for searching for one or more cooking recipes based on three or more levels of association with each cooking recipe for the combination. A mining means for extracting information on the object or civil structure to be newly designed;
Reference character strings and design concepts corresponding to the information extracted by the mining means by referring to three or more levels of association between each reference character string acquired in advance and each design concept classified into two or more types And a search means for searching for one or more design concepts based on three or more levels of association. A mining means for extracting a character string from information on an object or a civil structure to be newly designed;
With reference to three or more levels of association with each design concept for a combination between a plurality of reference character strings acquired in advance, between a plurality of reference character strings corresponding to the plurality of character strings extracted by the mining means A design support system comprising search means for searching for one or more design concepts based on three or more levels of association with each design concept for the combination. Mining means to extract information about the attachments to people who are newly designing,
Reference character strings and design concepts according to the information extracted by the mining means by referring to three or more degrees of association between each reference character string acquired in advance and each design concept classified into two or more types And a search means for searching for one or more design concepts based on three or more levels of association. A mining means for extracting a character string from information related to an attachment to a person who is newly designing,
Referencing three or more levels of association with each design concept for a combination between a plurality of reference character strings acquired in advance, and between a plurality of reference character strings corresponding to the plurality of character strings extracted by the mining means A design support system comprising search means for searching for one or more design concepts based on three or more levels of association with each design concept for the combination. A mining means for extracting information on a sentence or poetry to be newly created;
A reference character string and a composition concept according to information extracted by the mining means by referring to three or more levels of association between each reference character string acquired in advance and each composition concept classified into two or more types And a search means for searching for one or more composition concepts based on three or more levels of association. A mining means for extracting a character string from information on a sentence or poetry to be newly created;
Referencing three or more levels of association with each composition concept for a combination of a plurality of reference character strings acquired in advance, and between a plurality of reference character strings corresponding to the plurality of character strings extracted by the mining means A sentence creation support system comprising: search means for searching for one or more composition concepts based on three or more levels of association with each composition concept for the combination. Mining means to extract information according to the mark to be newly created,
Reference character strings and marks corresponding to the information extracted by the mining means with reference to three or more degrees of association between each reference character string acquired in advance and a mark creation concept classified into two or more types A mark creation support system comprising a search means for searching for one or more mark creation concepts based on three or more levels of association with the creation concept. A mining means for extracting a character string from information corresponding to a mark to be newly created,
A plurality of reference character strings corresponding to a plurality of character strings extracted by the mining means with reference to three or more levels of association with each mark creation concept for a combination between a plurality of reference character strings acquired in advance A mark creation support system comprising a search means for searching for one or more mark creation concepts based on three or more levels of association with each mark creation concept for the combination of the two. Mining means to extract information according to the business model to be newly proposed,
Referencing three or more levels of relevance between each reference character string acquired in advance and the idea concept classified into two or more types, and the reference character string and the idea concept according to the information extracted by the mining means A business model drafting support program characterized by comprising search means for searching for one or more drafting concepts based on three or more levels of relevance. Mining means to extract information according to the business model to be newly proposed,
Referencing three or more levels of association with each idea concept for a combination between a plurality of reference character strings acquired in advance, and between a plurality of reference character strings corresponding to the plurality of character strings extracted by the mining means A business model drafting support program comprising search means for searching for one or more drafting concepts based on three or more levels of association with each drafting concept for the combination.

Images