JP2015184970A - Idea creation computer system, method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enhance utilization efficiency of a challenge type database as possible, and improve performance of the whole system.SOLUTION: An idea creating computer system is configured so that: a thesaurus database is used for expression-expanding challenge data which is stored in a challenge type database, merging the same kind data for creating representative challenge data; only when the representative challenge data includes no information which is stored in a main function term database, the representative challenge data is stored in the challenge type database; the representative challenge data stored in the challenge type database is expression-expanded and a search keyword for finding a solution technique is created; the corresponding solution technique is researched from pieces of technique information stored in a technique type database, using the search keyword; and based on the result of research, names and the number of pieces of the corresponding technique information are displayed by data display means.

Description

  The present invention relates to an idea creation computer system and a method arrangement program for automatically creating an idea using a computer.

In general, in order to create a new product having a new value (function) according to a new need or the like, all the activities are carried out by a personal or group creation activity by an engineer having basic knowledge about the product.
Further, according to Patent Document 1, a system for generating a new information pattern by using data accumulated by inputting information and a neural network technique has been proposed. It is not a mechanism to generate concrete solution ideas from information.

Japanese Patent No. 3275311

  Thus, in the past, in order to create a product that incorporates a new idea that solves this needs problem, it is necessary to rely on an excellent human brain. In many cases, the creation required a lot of time and money.

In order to solve this problem, the applicant of the present application, as shown in FIG.
A computer system comprising an assignment system database (DB) 2, a technology system database (DB) 3, a thesaurus database (DB) 6, a personal computer 10, and the like,
Within the assignment database 2, a data folder 2a is provided for each type of product. Further, the data folder 2a includes an original assignment (DH) 2b, a long tail (DH) 2c, a research result (DH) 2d, and the like. A data folder,
The assignment data is stored in the original assignment (DH) 2b,
Using the thesaurus database (DB) 6, the task data is expressed and expanded to merge representative items to create representative task data, and a merge counter value representing the number of merged task data is obtained for each representative task data , Long tail processing 4 for storing the representative task data and its merge counter value in the long tail (DH) 2c,
Using the thesaurus database (DB) 6, a search keyword for searching for a solution technique by expressing and expanding the representative task data is generated, and the technical information stored in the technical database (DB) 3 using the search keyword Research the corresponding solution technology from among the above, perform the research process 5 to store in the research result (DH) 2d,
An idea creation computer system capable of selecting and displaying all the data stored in the original task (DH) 2b, the long tail (DH) 2c, and the research result (DH) 2d on the personal computer 10 Filed on May 18 (Japanese Patent Application No. 2013-217453).

In the personal computer 10, the representative task data stored in the long tail (DH) 2c and its merge counter value are set in descending order of the merge counter value with the representative task data as the horizontal axis and the merge counter value as the vertical axis. When displayed, the graph is as shown in FIG. In this graph, A1, A2, A3,... Represent representative task data.

  In general, representative task data with a large merge counter value is considered to be the content of the majority (majority) in the relevant industry or industry, while the other representative task data with a small merge counter value is In the relevant industry, the content of the issue is the content of minorities.

  By the way, registration and storage of representative task data and its merge counter value in the long tail (DH) 2c of the task database 2c has been performed unconditionally and unlimitedly. Is not taken into account, and further, there is a problem in that the performance of the entire system decreases due to an increase in the amount of data.

  The present invention has been made in view of such problems, and it is an object of the present invention to maximize the utilization efficiency of the problem database and improve the performance of the entire system.

In order to solve the above-mentioned problems in the present invention, first, in the invention of claim 1, a problem database for storing problem data, a thesaurus database, a main function term database, a technical database for storing technical information, and data An idea creation computer system having a display means,
Using the thesaurus database, the task data stored in the task database is expressed and expanded, and the similar items are merged to create representative task data. The representative task data includes information stored in the main function terminology database. Only when there is not, the representative task data is stored in the task database, and further, the search keyword is generated to search for a solution technology by expanding the representative task data stored in the task database, and using the search keyword, An idea creation computer system characterized by researching a corresponding solution technology from the technical information stored in a technical database, and displaying the name and number of the corresponding technical information on the data display means based on the research result. It is what.

  The invention of claim 2 also includes assignment information collecting means, which converts the assignment information into data that can be handled by a computer by the assignment information collecting means, extracts the assignment data by performing a data mining process, and stores it in the assignment database. The idea creating computer system according to claim 1 is characterized in that.

  Further, in the invention of claim 3, from the result of the research, the name of the relevant technical information, the number of cases, a unique number that can be searched again, and the accompanying industry and industry information are stored. Item 3. The idea creation computer system according to item 1 or 2.

  According to a fourth aspect of the present invention, in the idea creation computer system according to any one of the first to third aspects, the number display of the number of the technical information corresponding to the result of the research is an analog display. It is what.

  The invention according to claim 5 is characterized in that, for each representative problem data, the number of merged problem data is obtained and displayed by the data display means. It is what.

In the invention of claim 6, a problem database for storing problem data, a thesaurus database, a main function term database, a technical database for storing technical information,
An idea creation method performed by an idea creation computer system having a data display means,
Using the thesaurus database, the task data stored in the task database is expressed and expanded, and the similar items are merged to create representative task data. The representative task data includes information stored in the main function terminology database. Only when there is not, the representative task data is stored in the task database, and further, the search keyword is generated to search for a solution technology by expanding the representative task data stored in the task database, and using the search keyword, An idea creation method characterized by researching the corresponding solution technology from the technical information stored in the technical database, and displaying the name and number of the corresponding technical information on the data display means from the research result It is a thing.

  In the invention of claim 7, the computer system also includes problem information collecting means, and the problem information collecting means converts the problem information into data that can be handled by the computer, performs data mining processing, extracts problem data, The idea creation method according to claim 6, wherein the idea creation method is stored in a system database.

  Further, the invention of claim 8 stores the name of the technical information, the number of cases, a unique number that can be searched again, and the accompanying industry and industry information from the result of the research. Item 6 or 7 is an idea creation method.

  In the invention of claim 9, the idea creation method according to any one of claims 6 to 8, characterized in that the number display of the number of the technical information corresponding to the result of the research is an analog display. It is a thing.

  In the invention of claim 10, the idea creation method according to claim 6, wherein the number of merged task data is obtained and displayed on the data display unit for each representative task data. It is a thing.

  In the invention of claim 11, an idea is created in a computer system comprising a problem database for storing problem data, a thesaurus database, a main function term database, a technical database for storing technical information, and data display means. The program causes the computer system to create representative task data by merging similar items by using the thesaurus database and expanding the task data stored in the task database. Only when the representative task data does not include the information stored in the main function terminology database, the representative task data is stored in the task database, and further, the representative task data stored in the task database is expressed and expanded. Generate search keywords to find technology Using the search keyword, research the corresponding solution technology from the technical information stored in the technical database, and display the name and number of the corresponding technical information on the data display means from the research result This is an idea creation program.

  In the invention of claim 12, the computer system also includes problem information collection means. The problem information collection means converts problem information into data that can be handled by a computer, and performs data mining processing to extract problem data. 12. The idea creation program according to claim 11, wherein the idea creation program is stored in a system database.

  Further, in the invention of claim 13, from the result of the research, the name of the relevant technical information, the number of cases, a unique number that can be searched again, and the accompanying industry and industry information are stored. The idea creation program according to Item 11 or 12.

  Further, in the invention of claim 14, the idea creation program according to any one of claims 11 to 13, wherein the number display of the number of the technical information corresponding to the result of the research is an analog display. It is a thing.

  In the invention of claim 15, the idea creation program according to any one of claims 11 to 14, characterized in that, for each representative assignment data, the number of merged assignment data is obtained and expressed by the data display means. It is a thing.

  In the present invention, if representative task data that is clearly determined to be major is stored in the main function terminology database as information related to the main function, only representative task data that is not previously determined to be majority is stored. As information related to sub-functions can be stored in the problem database and research on solutions for only representative problem data of information related to sub-functions can be researched, the utilization efficiency of the problem database is maximized, and the entire system It is possible to reduce a great amount of time and cost conventionally required to create an idea that solves a need problem while improving the performance of the system.

It is a block diagram which shows the structure of one Embodiment of the idea creation computer system of this invention. It is the figure which represented the long tail in the graph. It is a figure which shows the example of a display of a research result. It is a block diagram which shows the structure of one reference form of the idea creation computer system of this invention.

Hereinafter, an embodiment of the idea creation computer system of the present invention will be described with reference to FIGS. 1 to 3.
FIG. 1 is a block diagram showing the configuration of an embodiment of the idea creation computer system of the present invention. The system of the present invention is a system for creating an idea without human intervention in an information processing process, and is configured by an information processing apparatus such as a computer, for example.
In the following, the flow of the idea creation process (process) starting from collection of problem information, extraction of problem data from problem information and storage, research of problem solving technology, and result display will be explained step by step.
As shown in FIG. 1, an idea creation computer system 1 according to this embodiment includes a problem database (DB) 2, a technical database (DB) 3, a thesaurus database (DB) 6, a personal computer 10, a main function term database ( DB) 11 etc., all of which are connected to the same network.

First, the flow from input of task information to idea creation in the system of the present invention will be briefly described. Task information that is the basis for creating an idea is input from a data terminal of the personal computer 10 connected to the network, and task data is extracted from the information and stored in the task database 2. The assignment data is stored in a variety of technical information such as published and unpublished patents after long tail processing 4 using the dictionary function of the thesaurus database 6 and main / sub function determination processing 12 using the main function term database 11. Technical database 3
Is used to execute a solution technology research process 5 on the problem data, and the result is stored. The result of this research is a system that can be confirmed using the personal computer 10.
Even if it is an idea, its meaning is broad and there is no clear definition. Therefore, in the present invention, an idea is not defined and the following process is referred to as idea creation.
The present invention proposes a new mechanism for creating ideas in a company's product development process. The product here is a combination of problem information (needs) born from human activities and solutions from technical information (seeds), and that combination already exists (existing product), and in contrast, a new combination Products and services with novelty and inventive step created by In the system of the present invention, since the system automatically performs a series of processes from the input of problem information to the research of solution technology, no human intervention occurs in the process.

The configuration and function of the system of the present invention will be described in detail below.
First, the problem database 2 shown in FIG. 1 will be described.
In FIG. 1, in order to make the explanation of information processing easy to understand, the task database 2 uses a data folder for storing data. Inside the assignment database 2, as shown in FIG. 1, a data folder 2a is provided for each type of product. Further, in the data folder 2a, data folders such as an original task (DH) 2b, a long tail (DH) 2c, and a research result (DH) 2d described later are provided.

The issue database 2 is a database in which issue data extracted from information such as issues, needs, and complaints received from customers, users, and the like is stored. (Hereinafter, these pieces of information are referred to as “issue information”.) Further, the issue database 2 or the personal computer 10 is provided with issue information collection means having a dictionary function (not shown).
The problem information corresponds to all information related to the technical problem solution described later, and the information storage medium name (storage name) is expressed as a problem database, but is not limited to a problem in a narrow sense. For example, opinions and responses to certain subjects such as requests and impressions are also included. Moreover, the expression form does not ask | require printing, non-printing characters, such as a document and a sound. Therefore, any medium / collection method can be used as the problem information collecting means for collecting them. For example, minutes, handwritten memos, web texts, voice records, etc. are used as a medium for comprehensive collection. Alternatively, the data may be collected while being selected and extracted by human judgment or keyword narrowing. The obtained task information is converted into text data that can be handled on a computer. Data conversion may be performed manually, or automatic recognition techniques such as character recognition and voice recognition may be used.

Next, problem data is extracted by performing a data mining process on the converted text data. Note that the task data may be collected as data by extracting the subject, predicate, and object from a portion corresponding to the task in the text by data mining. Furthermore, various information related to the problem information, for example, all information that can be used for information classification including information acquisition destination, industry, and date, is extracted and used as problem field data. The obtained assignment data and assignment field data are associated with each other and stored in the original assignment (DH) 2b of the assignment database 2.
In the actual operation of the original task (DH) 2b, the stored data is constantly updated by a database management system (DBMS) (not shown). Therefore, the data folder is duplicated at a certain point in time, and the processing described later is performed on the duplicated data folder. It is desirable to make the operation mode redundant based on the original.

Next, the processing function of the long tail processing 4 shown in FIG. 1 will be described.
The task data stored in the original task (DH) 2b is individually read out, the subject, predicate, object, etc. are extracted from the sentence structure of the information data, and the thesaurus database 6 which is a synonym and synonym dictionary is used to Perform expression expansion. Depending on the content of the task data, if the sentence structure is not as described above, the expression is expanded in units of words in the sentence. The thesaurus database 6 here includes not only general terms but also technical terms such as technical terms.

・ Extract the subject and expand the subject expression with thesaurus function.
・ Extract predicate expressions such as sensations and actions, and expand the expressions with thesaurus functions.
・ Extract the object and expand the expression of the object using the thesaurus function.

  As described above, the context of the subject, predicate, and object of the task data expanded in expression is judged, and all task data stored in the original task (DH) 2b is read and matching processing is performed. As a result of the matching processing, when it is determined that the task data is similar, merge processing is performed, and representative task data representing the similar task data is created.

  In the merge process, an addition-type merge counter (not shown) is assigned to each task data. The initial value is set to 1, and the merge counter is incremented by 1 every time the merge is performed. If there is no similar task data, the merge counter is set to 1 which is an initial value. The merge counter value is linked to the above-described representative task data.

  A main / sub function determination process 12 using information related to the main function stored in the main function term database (DB) 11 described later is performed on the representative task data. When it is determined whether the information related to the main function is included in the representative task data, and it is determined that the information related to the main function is not included in the representative task data, the representative task data is , It is stored in the long tail (DH) 2c together with the merge counter value associated therewith, and it is determined that the information related to the main function is included in the representative task data. In such a case, the representative task data is deleted together with the merge counter value associated with the main task data as information related to the main function.

The purpose of the merge process described above is to organize similar problem data into representative problem data. Furthermore, using the merge counter value generated during the merge process, the merge counter value is permuted according to the magnitude of the figure. 2 is to generate a graph called a long tail.
In the long tail graph of FIG. 2, the horizontal axis is expressed by replacing individual contents of representative task data with symbols (abbreviated symbols and numbers) such as A1, A2,..., And the vertical axis is a merge counter for the contents. The value is shown as the height of the bar graph, but in actual operation, it is not a symbol, but a short sentence notation that summarizes representative task data.
In general, representative task data with a large merge counter value is considered to be the content of the majority (majority) in the relevant industry or industry, while the other representative task data with a small merge counter value is In the relevant industry, the content of the issue is the content of minorities.
Note that the notation of the actual graph is displayed on the screen of the personal computer 10 to be described later, and is used for determining the research processing result.

  Next, in order to explain the main function terminology database 11 and the main / sub function determination process 12 performed using the database, first, the concept of the main function and the sub function will be described. An example will be described.

Examples of functional elements that are considered to be main functions in the truck are shown below.
(1) A large amount of luggage can be loaded (maximization of loading capacity and cargo space).
(2) Stable running is possible even in a loaded state.
(3) Cost.
The price of the truck body is low.
Good fuel economy.
Can be used for a long time (super life).
Factors raised in the above main functions are factors to increase transportation efficiency, and in addition, trucks are production goods with economic efficiency related to transportation. It has become.
When these elements are viewed as representative task data, the number of requests on the vertical axis (merge counter value) in the long tailed graph as shown in FIG. 2 is inevitably expected to increase. The elements given are considered to be majorities.

Next, examples of functional elements that are considered to be secondary functions (secondary functions) are shown below.
(1) Ride comfort is good.
(2) Driving is easy.
(3) The cabin noise is low.
(4) Good driving visibility.

  In the present example, the elements raised by the above-mentioned sub-function are listed as environmental elements that are comfortable for the driver driving the truck. It is a different element from the main function described above. When these elements are regarded as representative task data, the number of requests on the vertical axis (merge counter value) on a long tailed graph as shown in FIG. 2 inevitably is compared with the main function described above. Expected to decrease in general, in other words, the elements raised to subfunctions will be minorities.

  Majority (majority) representative issue data can be said to be a general issue whose contents have become apparent in the relevant industry and industry. And many companies devise various solutions to this problem and aim for commercialization. The reason is that if this majority problem can be solved, there are many customers who purchase the product, so that the sales volume of the company's product can be increased.

  The elements raised to the main function in the example of the track described above are almost the same as the major assignment data, but the source of information is different. That is, the content raised to the main function is not an element obtained from the task data but an element generated spontaneously. Although it is an element raised by one of the sub-functions, the information source may be the above-described minority (minority) representative assignment data or an element generated spontaneously. The main function can be rephrased as the minimum necessary collection of elements for which the purpose of use of the product is clear and the purpose is achieved. Even if it is a sub-function element in the initial stage, it may be added to the main function if it is very effective after the generation change of the product.

On the other hand, the sub function is an element other than the main function. As described above, the contents of the main function elements are clear, but the sub function elements are not clear. The reason for not being clear is that it changes depending on the background of the times (values, innovation, etc.). Many companies develop new products with improved or improved main functions.
On the other hand, new products with new added value are added to the existing products to improve the convenience of the products. In the present invention, the source of new added value is considered to be in the elements raised in the above-mentioned sub-functions, and attention is paid to the development process of new products that add this new added value. System.

The main function term database (DB) 11 is a database in which information such as words, terms, and expression words related to the main function is stored. As an actual form, it is provided in the task database 2 and becomes a region setting for storing registration information in the task database 2.

  The main / sub function determination processing 12 performs the following processing. That is, using the information related to the main function stored in the main function terminology database (DB) 11, a full text search is performed in the individual information of the representative task data, and information related to the main function is included. If so, the representative task data is determined to be information related to the main function. On the other hand, if the information related to the main function is not included, it is determined that the representative task data is information related to the sub function. As a result of the selection, if the representative task data is information related to the sub-function, the representative task data is registered in the long tail (DH) 2c of the task database 2 together with the merge counter value associated therewith. On the other hand, if the information is related to the main function, the representative task data is deleted together with the merge counter value associated therewith after the above determination. As a matter of course, the representative task data is not registered and stored in the long tail (DH) 2c of the task database 2 together with the merge counter value associated therewith.

  The purpose of the series of main / sub function determination processes 12 described above is to maximize the utilization efficiency of the task database 2. That is, since representative task data related to the main function can be deleted at an early stage, it is not necessary to store the assumed information (representative task data) in the task database 2 and only information related to the sub-function is stored in the system. Can be processed. Therefore, the storage capacity of the subject database 2 and the utilization efficiency of the data processing function can be increased, and further the performance of the entire system can be improved.

  In the system of the present invention, it is necessary to register in advance information such as words, terms, and expression words related to the main function, and this registration is manually input. However, the input may be performed once in principle at the initial stage, and it is not necessary to repeat registration. In addition, specific explanations of main functions and sub-functions were given using trucks as an example, but the target products and services are any if the main function elements and sub-function elements are different. There may be.

Next, the technical database 3 and the research process 5 shown in FIG. 1 will be described.
The technical database 3 is a database in which disclosed patent information and non-public technical information are stored, and each information source has a keyword associated with it and can be easily searched. Specific examples include databases such as published patent information of the Japan Patent Office, “USPTO” published by the US Patent and Trademark Office, and in-house technical reports of non-public information. Further, in-house non-public information may be a simple database in which problem keywords and solution keywords can be extracted from an information document by a text mining method.
In the research process 5, representative task data stored in the long tail (DH) 2c is individually read out, and the subject, predicate, object, etc. are obtained from the sentence structure of the information data as in the long tail process 4 described above. Extraction is performed and expression expansion is performed using the thesaurus database 6. One representative task data is expanded to express a plurality of task data at this stage.

In this process, all the problem data is used as a search keyword, and a solution technology is researched on the technical database 3. The term “research” as used herein refers to obtaining at least the name of technical information, number of cases, each field of technical information, industry, industry information, and index information (researchable unique number, etc.) for the search keyword. It is.
The acquisition of the index information is information necessary for deriving the total number of relevant cases, for example, as a result of the research processing 5 of one representative assignment data. That is, merging can be performed using this index information.
The research process 5 is performed, and the number of relevant cases obtained as a result, the respective fields of the relevant technical information, the industry, the industry information, the index information, etc. are linked to the representative subject data and the research result (DH) 2d Saved in.

  In research using a conventional technical database, a related keyword is input by a person to the search system to obtain target technical information. On the other hand, in the system of the present invention, all access to the technical database is performed by the computer, and the research results are also acquired and stored by the computer, and the information processing for visualization that can be instantaneously determined later is performed. .

Next, a display form of data handled by the system of the present invention will be described. A display example of the present invention is shown in FIG.
In the system of the present invention, in the personal computer 10 connected to the network, all data stored in the above-mentioned original problem (DH) 2b, long tail (DH) 2c and research result (DH) 2d are selected. Can be displayed. Furthermore, the display method can be freely expressed. Hereinafter, a specific display mode example will be described.
In the assignment data system, for example, a long tail graph display as shown in FIG. 2 can be obtained from the representative assignment data stored in the long tail (DH) 2c and the merge counter value. As described above, typical issue data with a large merge counter value is considered to be the content of the majority (majority) in the relevant industry or industry, and the other merge counter value is small. In the representative task data, the content of the task is considered to be minority content in the relevant industry.

In one research result, for example, as shown in the display example of FIG. 3, a three-dimensional vertical bar graph is displayed for each field from the corresponding field, industry, and industry information as described above. The data string to which it belongs is displayed dark (excluded).
In FIG. 3, the research result is shown as a virtual task “bicycle falls (falls)” as the task data. In FIG. 3, “Gyro” used in the fields of automobiles, aviation, and space is shown as a hit as a solution technology. The gyro is a device that generates a moment of inertia, and the idea product is that it can create a “bicycle that does not fall down” by mounting this gyro inside the bicycle wheel.
As a feature of this display form, there is a display method in which each field is divided, and the number of hits described above can be imaged (intuitive) as a three-dimensional vertical bar graph. It is possible to instantly determine in which field the applicable solution technology is used, and it is possible to instantly determine whether the obtained solution technology is technical content suitable for the purpose or not. And the display form. In the determination, if it is desired to obtain detailed information of the obtained solution technology, it is also possible to obtain it using the above-described index information.

  The above is the flow of the idea creation process (process) starting from collection of problem information, extraction of problem data from problem information and storage, research of problem-solving technology, and result display.

In the above-described embodiment, the terminal connected to the network is the personal computer 10, but it may be in a form adapted to the era, for example, the network is connected by wireless communication via a carrier network of a telephone company, The terminal that is a device may be a tablet PC, a smartphone, or the like.
All of the above-mentioned original tasks (DH) 2b, long tailing (DH) 2c and research results (DH) 2d stored in or selected from the data can be carried into a personal computer 10 or network. It can also be downloaded to another connected terminal (not shown). By doing so, the aforementioned information can be browsed even in an offline environment disconnected from the network.

As described above, the process of the system according to the present invention starts from the duplication of the original task (DH) 2b. However, the activation condition of the process is not particularly limited and may be set according to the use environment. It may be activated at a set time such as changing midnight, optionally activated from the personal computer 10, or activated in accordance with the update of the technical database 3.
Further, the scope of processing execution of the system of the present invention is not particularly limited, and may be set depending on the use environment. For example, all data folders provided in the task database 2 may be used. One or more data folders may be selected. Therefore, the above-described process activation and process execution target range may be set according to the use environment of the system such as the number of users used, the use time zone, and the network traffic volume.

  The technical database in the system of the present invention covers the existing technical databases of various academic societies, organizations, companies, etc., as well as published patents that are databased as described above. However, many of these databases are difficult to use as they are because they are systems that target the operation. In response to this problem, for example, a mirror server dedicated to the system of the present invention may be newly provided, and further changed to a highly efficient server interface specification based on machine search. Conventionally, it has been an accidental access when used by a person, but the access in the system of the present invention is a large amount and is performed intensively and at high speed.

  While this is a problem database, the technical database is intended to be used by more engineers by publishing owned technologies, whereas in the problem database proposed by the system of the present invention, In many cases, the task data stored therein is confidential information. The reason is that the issue data obtained from customers and the like has a cost to collect, and the in-house products generated from these issue data are sources of market competitiveness. A database close to an issue database already exists in many companies, and it seems that the issue data is shared internally throughout the company. However, the use of the issue data is specialized in information analysis such as data scientists. It is a person concerned, such as a house, planning and development in a company, a researcher, and so on.

On the other hand, in the system of the present invention, it is considered that the subject data is used in the following two cases. One of them is the processing system of the present invention, not a person, for the mechanical search of solution technology for problem data. The other one is used when the system of the present invention has obtained the results of information processing, and when a person understands the problem data and judges novelty and inventive step on the research results derived by the system. The Furthermore, the usage of the technical database is completely different, and so-called brute force keyword search is executed for research of solution technology for problem data.
Therefore, it can be said that this is a system that does not require the above-mentioned information analysis expert because the research results of the problem data have been derived from the brute force.

In conventional idea creation, ideas are created by bracestorming by individuals or groups. Individuals or groups gathered task information, understood the purpose, background, meaning, etc. from the task information, then considered solutions, and used the results as ideas. The idea of a person who is generally called “inspiration” is born in this course. In this case, a technical database may be used in the course of thinking about a solution.
On the other hand, in the system of the present invention, there are no processes (processes) such as understanding of problem data by humans and thinking of solutions by humans, and all processes are performed automatically and autonomously. Executed. The human involvement in the system of the present invention is that the person understands the problem data after the information processing result is obtained, and further, the research result derived by the system judges novelty and inventive step for the problem data. That's it. The novelty here means, for example, whether a new element is included as compared with a conventional product, while the inventive step can be realized as a product or can be realized and its functional performance has been conventionally It means whether it is superior to the product.
Therefore, the mechanism is completely different between the conventional idea creation process by a person and the idea creation process of the system of the present invention. In the idea creation process, humans and machines are the ones who are most adept at the machine, that is, the person who concentrates on what he / she can do best, that is, the maximum handling of the huge amount of data and the ability to process data. This is a cooperative system. Furthermore, in the system of the present invention, since the processing time from the input of task information to the output of research results is very short, this high speed is considered to be one of the major features of the system of the present invention.

  As explained above, the computer system that automatically extracts daily issue data, performs optimal matching from the technical database, and automatically creates new products based on completely new ideas, relies on the inspiration of individuals. The computer system automatically creates the idea of the “combination of problem and solution”, and human beings can judge the novelty and inventive step of the resulting “combination of problem and solution” idea. Thinking can be focused on materialization (commercialization). As a result, the process of creating the “combination of problems and solutions” idea that relies on the accidental inspiration of human beings can be eliminated. As a result, many new products can be created in a short time. I think so.

As mentioned above, although embodiment of this invention was explained in full detail with reference to drawings, the concrete structure is not restricted to this embodiment, The change of the structure of the range which does not deviate from the summary of this invention, etc. are included. Furthermore, it goes without saying that the configurations shown in the embodiments can be used in appropriate combinations.
For example, in the above-described embodiment, the technical database 3, the thesaurus database 6, and the personal computer 10 connected to the network are shown as one unit, but of course there may be a plurality of them.
Furthermore, when there are a plurality of systems according to the present invention, they can be connected to the same network and operated centrally from the personal computer 10. In this case, since the technical database 3 and the thesaurus database 6 can be shared, the initial cost and maintenance cost of the system can be reduced. Specific examples include divisions and divisions within a company, parent companies and subsidiaries, and companies that have a business partnership.

1 Idea creation computer system 2 Assignment database (DB)
2a Data folder 2b Original assignment data folder (DH)
2c Long tail data folder (DH)
2d Research result data folder (DH)
3 Technical database 4 Long tail processing 5 Research processing 6 Thesaurus database (DB)
10 Personal Computer 11 Main Function Terminology Database (DB)
12 Main / sub function judgment processing

Claims (15)

An idea creation computer system comprising a problem database for storing problem data, a thesaurus database, a main function term database, a technical database for storing technical information, and a data display means,
Using the thesaurus database, the task data stored in the task database is expressed and expanded, and the similar items are merged to create representative task data. The representative task data includes information stored in the main function terminology database. Only when there is not, the representative task data is stored in the task database, and further, the search keyword is generated to search for a solution technology by expanding the representative task data stored in the task database, and using the search keyword, An idea creation computer system characterized by researching a corresponding solution technology from the technical information stored in a technical database, and displaying the name and number of the corresponding technical information on the data display means based on the research result. .   2. A task information collecting means is also provided, wherein the task information collecting means converts the task information into data that can be handled by a computer, performs data mining processing, extracts the task data, and stores it in a task database. The idea creation computer system described.   The idea according to claim 1 or 2, wherein the name of the technical information, the number of cases, a unique number that can be searched again, and the accompanying industry and business type information are stored from the result of the research. Creation computer system.   The idea creation computer system according to any one of claims 1 to 3, wherein, as a result of the research, the number display of the number of corresponding technical information is an analog display.   5. The idea creation computer system according to claim 1, wherein the number of merged task data is obtained for each representative task data and displayed by the data display means. An idea creation method performed by an idea creation computer system comprising an issue database for storing assignment data, a thesaurus database, a main function term database, a technical database for storing technical information, and a data display means,
Using the thesaurus database, the task data stored in the task database is expressed and expanded, and the similar items are merged to create representative task data. The representative task data includes information stored in the main function terminology database. Only when there is not, the representative task data is stored in the task database, and further, the search keyword is generated to search for a solution technology by expanding the representative task data stored in the task database, and using the search keyword, An idea creation method characterized by researching a corresponding solution technology from technical information stored in a technical database, and displaying the name and number of the corresponding technical information on a data display means based on the result of the research.   The computer system also includes assignment information collecting means, and the assignment information collecting means converts the assignment information into data that can be handled by the computer, extracts the assignment data by performing data mining processing, and stores it in the assignment system database. The idea creation method according to claim 6.   8. The idea according to claim 6, wherein the name of the technical information, the number of cases, a unique number that can be searched again, and the accompanying industry and business type information are stored based on the result of the research. Creation method.   The idea creation method according to any one of claims 6 to 8, wherein the number display of the number of the technical information corresponding to the result of the research is an analog display.   The idea creation method according to claim 6, wherein the number of merged task data is obtained for each representative task data and displayed by the data display unit.   A program for creating an idea in a computer system comprising a problem database for storing problem data, a thesaurus database, a main function term database, a technical database for storing technical information, and a data display means, The program causes the computer system to create a representative task data by using the thesaurus database and expanding the task data stored in the task database and merging similar items, and the representative task data is a main function term Only when the information stored in the database is not included, the representative keyword data is stored in the problem database, and the search keyword for searching for a solution technology is expanded by expressing the representative problem data stored in the problem database. Generate and use search keywords The appropriate resolution techniques from the technical information stored in the operator system database and research, idea generation program from the results of research, characterized in that to display the name and number of applicable to technical information data displaying means.   The computer system also includes assignment information collecting means, and the assignment information collecting means converts the assignment information into data that can be handled by the computer, performs data mining processing, extracts the assignment data, and stores it in the assignment system database. The idea creation program according to claim 11.   13. The idea according to claim 11 or 12, wherein, based on the result of the research, the name of the technical information, the number of cases, a unique number that can be searched again, and the accompanying industry and industry information are stored. Creation program.   The idea creation program according to any one of claims 11 to 13, wherein the number of the technical information corresponding to the result of the research is an analog display.   The idea creation program according to any one of claims 11 to 14, wherein for each representative assignment data, the number of merged assignment data is obtained and displayed by the data display means.