JP2003157349A - Personal life information forming method, and system and program therefor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a personal life information forming method and a utilizing system therefor allowing the processing of collected personal information to be fetched as universal data more close to truth. SOLUTION: The system is characterized in that it is provided with a means 11 for receiving information about users, a means 12 for storing the received personal information, an extracting means 13 for extracting information related to lives from the stored personal information, a means 13 for determining whether the extracted information satisfies the predetermined conditions or not, a means 16 for storing information which is determined to be satisfied with the predetermined conditions, an inferring means 14 for inferring and selecting terms having high probability out of preset terms from the information which is determined to be not satisfied with the predetermined conditions, in reference to information stored in the storage means 11 and information stored in a database, a signal generating means 15 for generating question signals which identify the terms selected by the inferring means 14 to be good or not, and a means 11 for outputting the question signals generated by the signal generating means.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a personal life information forming method, a personal life information forming system, a personal life information forming program, and its use.

[0002]

2. Description of the Related Art Conventionally, as information collection methods, information collection from a specific individual including an element that can identify an individual such as a name and address, and information collection from an unspecified majority that does not include an element that can identify an individual. There is a question and answer type and a survey observation type as information collection means. Question-and-answer type information gathering from specific individuals such as name-bearing questionnaires can obtain information about the inside that cannot be observed objectively, but the person's desire,
There is also false information due to falsehood and speculation, and it is difficult to compare and tabulate because the scale is different for each individual. Survey-observation-type information collection targeting specific individuals corresponds to conduct surveys by Koshinsho, and is different from so-called market research. Question-and-answer type information gathering from an unspecified number of people, such as anonymous questionnaires, is easier to obtain cooperation than the anonymous method, and it can be expected to reduce inaccuracy due to vanity, but it tends to cause serious and dishonest answers. . Survey observation type information collection for unspecified large numbers such as audience rating surveys and traffic volume surveys is expressed as objective and simple numerical values, so it is effective as a very rough grasp, but a considerable amount of information is available. If you don't gather, the numbers will be meaningless.

In product development and sales plans, it is necessary to carry out a number of anonymous or anonymous questionnaires, and to conduct an attitude survey to understand the consumer's preference for the product and a survey of the purchasing class. However, extensive surveys are expensive and it is not easy to collect true data due to the integrity, vanity and many other factors of the respondents.

[0004]

SUMMARY OF THE INVENTION An object of the present invention is to collect personal information in a state where alertness is excluded, and further process the collected data to extract it as data that is closer to the truth and has universality. (EN) Provided are a personal life information forming method, a personal life information forming system, a personal life information forming program, and a method and system for using the same.

A further object of the present invention is to provide a personal life information forming method and a user information forming system that enable the individual to positively provide the information he or she wants in daily life. .

[0006] Another object of the present invention is to form a personal life information database which is constructed so that a questionnaire can be carried out arbitrarily and at any time and which can provide highly reliable questionnaire results. A method and system are provided.

[0007]

The personal life information forming method of the present invention comprises: Forming an input information file containing information from individual users transmitted over the network; B. Creating a database for storing information related to the life of the individual in response to the formation of the input file; C. Extracting information relating to the life of the individual each time there is input of information in the file; D. Determining whether the extracted information can be stored in the database; E. In the determination, if it is determined that the information can be stored in the database, it is stored in the database, and if it is determined that the information cannot be stored, which of the preset terms can be stored in the database? Selecting in the light of the information stored in the file and the database; F. Outputting a signal to form a question on the individual's terminal to confirm the correctness of the selected term; the input of the response from the individual's terminal to the question is stored in the file, and Each step after step C is repeated.

By satisfying predetermined requirements such as membership registration, personal information is input via the network to form an input information file, and the personal information is stored in the input information file one after another.

Each time information is input to the input information file, information relating to the life of the individual is extracted, and it is determined whether or not the information can be stored in the living information database.

[0010] Living information is information relating to an individual's life, and is information about a living environment, a living environment, a school or work environment, a recreational environment, hobbies, tastes, and other personal daily life. It is also essential information for development.

The database is an accumulation of data stored in a form that can be processed, extracted, and manipulated, and the life information database of the present invention retrieves an individual's life, that is, preferences, hobbies, habits, etc. by a predetermined procedure. Designed to be extractable.

Therefore, even if the information input through the network is stored in a file and extracted as information related to life, the extracted information cannot be stored in the living information database of the present invention as it is. Things are also included.

With respect to such information, which of the preset terms as the term that can store the information corresponds to is selected based on the data already stored in the file and the database. Do not store the selected term in the database immediately, output a signal that forms a question on the person's terminal asking if the term is correct, receive the person's answer,
The received information is stored in a file, and the extraction means extracts this and stores it in the database.

When the above steps are repeated and many personal life information databases are created, and those life information databases are enriched, it is possible to search for information according to the purpose by narrowing down the questionnaire. It will be possible.

In the step A, if the input information file formed is specified by the identification number for identifying the individual, the confidential information is prevented from leaking, and input to the file and extraction from the file are correct. Does not happen.

In step B, if the created database is specified by the identification number for identifying the individual, the confidential information is prevented from leaking, and there is no error in the input to the file and the extraction from the file. .

In the step C, it is preferable that the extracted information relating to the life of the individual is information expressed in words. By being expressed in words, it is easy to judge whether or not it can be stored in the database.
It also makes it easy to set the contents to be stored in the database. The information stored in the file is the personal user's We
Even if the information on the frequency and the number of times of access to the site is extracted by the extraction means as a verbal expression, the database is set to store items such as the frequency and the number of times, and is stored. it can.

The method for investigating personal life information according to the present invention comprises: Forming an input information file containing information from individual users transmitted over the network; B. Creating a database for storing information related to the life of the individual in response to the formation of the input file; C. Extracting information relating to the life of the individual each time information is stored in the file; D. Determining whether the extracted information can be stored in the database; E. In the determination, if it is determined that the information can be stored in the database, it is stored in the database, and if it is determined that the information cannot be stored, which of the preset terms can be stored in the database? Selecting in light of the information already stored in the file and the database; F. Outputting a signal to form a question on the terminal of the individual user for confirming the correctness of the selected term; G. An input of a response from the terminal of the individual user to the question is stored in the file, and thereafter, the steps after step C are repeated; Setting arbitrary filtering conditions in the database; I. Performing a search under the set narrowing-down condition; J. And outputting the result of the search.

When a database of a large number of individual users is created and the information stored in each database is enriched, each database is used as the actual life itself of each individual such as environment, customs, hobbies, tastes, thoughts, etc. Necessary searches can be performed by narrowing down the database of (1) under arbitrary conditions. That is, it is possible to carry out a questionnaire which requires these databases as a survey target. These databases are constantly updated. Therefore, the questionnaire results are based on the latest information and are highly reliable. Further, since the narrowing-down condition can be arbitrarily changed in consideration of the obtained result, it is possible to carry out the questionnaire that meets the purpose. The personal living information forming system of the present invention includes: a receiving unit that receives information from an individual user transmitted via a network; a storage unit that stores the personal information received by the receiving unit; and a storage unit that is stored in the storage unit. Extraction means for extracting information related to the life of the individual from personal information; judgment means for judging whether or not the information extracted by the extraction means satisfies a predetermined condition; when the judgment means satisfies a predetermined condition Saving means for storing the determined information as a database; with respect to the information determined by the determining means not satisfying the predetermined condition, in light of the information stored in the storage means and the information already stored in the database An inference means for inferring a highly probable term from among a plurality of preset terms; a correct inference of the term selected by the inference means. Signal generating means for generating an interrogation signal for confirming; characterized by comprising a; and the signal generating means outputting means for outputting an interrogation signal generated.

In the above system, the judging means may be an independent means, but the extracting means may also have a function as a judging means for judging whether or not the information satisfies a predetermined condition. Alternatively, the database storage means may have a function as a determination means for selecting information satisfying a predetermined condition and storing it in the database.

[0021] The present invention is also a program for receiving information from an individual user transmitted via a network to form personal life information, wherein the computer is transmitted via the network for individual use. Receiving means for receiving information from a person; storage means for storing the personal information received by the receiving means; extraction means for extracting information related to the life of the individual from the personal information stored in the storage means; Determination means for determining whether or not the information extracted by the means satisfies a predetermined condition; storage means for storing the information determined by the determination means as satisfying a predetermined condition as a database; and the determination means for the predetermined condition Regarding the information determined to satisfy the above condition, the information stored in the storage means and the information already stored in the database are compared with each other, and Inference means for selecting a highly probable term from a plurality of set terms by inference; signal generation means for generating an inquiry signal for confirming the correctness of the term selected by the inference means; and the signal generation means. And a program for functioning as output means for outputting the question signal generated by the terminal to the terminal of the individual user.

In the personal living information research system of the present invention, receiving means for receiving information from an individual user transmitted via a network; storage means for storing the personal information received by the receiving means; Extraction determining means for extracting information related to the life of the individual from the stored personal information and determining whether or not the extracted information satisfies a predetermined condition; it is determined that the extraction determining means satisfies the predetermined condition Storage means for storing the stored information as a database; with respect to the information determined by the extraction determination means not to satisfy the predetermined condition, in light of the information stored in the storage means and the information already stored in the database. An inference means for inferring a highly probable term from among a plurality of preset terms; a correct inference of the term selected by the inference means. Signal generating means for generating a question signal for confirming the above; output means for outputting the question signal generated by the signal generating means to the terminal of the individual user; setting means for setting an arbitrary narrowing condition in the database; The present invention is characterized by comprising an executing means for executing a search under a set narrowing condition; and an output means for outputting a search result.

[0023]

DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 is a block diagram showing a user information forming system of the present invention. User C1 (and C
2, C3 ...) We of the business operator A through the network N
b When accessing and communicating with site A1,
The b server AS acquires the personal information of the user C1 (and C2, C3 ...). Web server AS is the acquired user C
The personal information 1 is sent to the life information forming system 10 of the business operator A.

The living information forming system 10 inputs and outputs information from the Web server AS and outputs the signal generated in the system 10 to the Web server AS, and stores and stores the input user information as it is. Storage means 1 for making input information file 12F for each user
2, life information extracting means 13 for extracting life information stored in the input information file 12F, and life information extracting means 1
Database saving means 16 for saving the life information extracted by 3 as a database 16D, and the information extracted by the extracting means 13, which is the database 16 as it is.
The inference means 14 for inferring a term that cannot be stored as D based on a predetermined standard, and the signal generation means 15 for generating an output signal for confirming the correctness of the result derived by the inference means 14, each of these constituent elements being a CPU. Alternatively, it is controlled based on a preset program by a control means such as a computer.

The life information extracting means 13 extracts information related to life information from the input information file 12F and at the same time determines whether or not the information can be stored in the life information database 16D. If it is determined that the information can be stored, it is stored in the database. However, the database is updated every time information is stored,
The updated living information database 16D is stored in the database storage means 16.

Although the living information extracting means 13 has extracted from the input information file 12F as having a relationship with the living information, the reasoning means 14 determines a term determined to be not applicable to the living information database 16D as it is. From the terms applicable to the plurality of life information databases 16D, the most probable term is selected in comparison with the contents of the already formed life information database 16D and the input information file 12F. The signal generating means 15 generates an inquiry signal for asking the user whether the selected term is correct or not, and transmits the inquiry signal from the interface 11. When a response signal to the question signal is input from the interface 11, the storage unit 12 inputs the response to the input information file 12F, the life information extraction unit 13 extracts the input information, and adds the extracted information to life. Living information database 16 by updating information database 16D
D is fulfilling. The life information database 16D is gradually enriched by such a cycle of the operation of each component, and is universalized as individual life information.

Next, the operations from the access to the website A1 from the user terminal of the living information generating system 10 to the forming of the living information database 16D will be described with reference to the flowcharts of FIGS.

In this embodiment, the business operator A establishes a website A1 for providing web navigation on the Internet, and the user is navigated to many affiliated sites while talking with the character on the website A1. The user's input on each site is Web
It is input to the living information forming system 10 via the server AS. As an affiliated site, for example, W which provides fortune-telling
eb site A11, Web site A12 that provides a schedule book, provides a scheduler that automatically sends the setting contents to the mobile terminal at the set time when the schedule is entered, and calls the user's attention, Dictionary search Web site A1
3, there is a transfer guidance website A14, a TV program guide information website A15, etc., and information can be taken out from these sites or accessed.

This navigation Web site A1 is targeted at users who can be identified, subject to membership registration.
It is a b site, and the user inputs at least a name, an e-mail address, a password, etc. when registering as a member, and the website A1 sets an ID for identifying the member.

When the user registers as a member by inputting his / her name, e-mail address, and password according to a predetermined procedure,
The server AS checks whether these pieces of information are input in the correct form, sets a member identification number (ID) if correct, and outputs the information input at the time of registration to the living information forming system 10 together with the ID.

CP for controlling life information forming system 10
U detects the user's access input through the input / output interface 11 (step 1). It is determined whether the input ID is an already registered ID or a new ID (step 2), and if it is a new ID, registration information is received (step 3) and a new input information file is formed (step 3). Step 4).

When it is determined that the ID is already registered, the input of information is detected for each access (step 5),
When information is input, enter that information in the input information file 12
Save in F (step 6).

CP for controlling life information forming system 10
Whenever there is an input in the storage means 12, the U monitors it, and when there is an input (step 11), determines whether the input information file 12F has been formed (step 12).
When the input information file 12F is formed, since a new user has been registered, correspondingly,
A new user life information database 16D is created in the database storage means 16 (step 13). The nickname derived from the registered user name is also set in the living information database 16D.

Each time information is stored in the input information file 12F, the living information extracting means 13 monitors the stored information and determines whether or not the information should be extracted according to a predetermined criterion (step 14). When it is determined to be "YES", the information is extracted (step 15), and it is determined whether the extracted information is information that can be directly input to the life information database 16D (step 16). If "YES" is determined, the life information database 16D is updated as the information is added (step 17).

On the other hand, if it is determined to be "NO" in step 16, the inference means 14 is activated, and the terms that are related to the information and that can be input to the living information database 16D are already stored. A search is performed in light of the contents of the information file 12F and the contents of the already stored database 16D, and a highly probable term is derived by inference (step 18). The signal generation unit 15 is caused to generate a signal for inquiring the user in the question format as to whether the derived term is correct or not, and the signal is output from the input / output interface 11 (step 19). Since the response signal to this output is stored in the input information file 12F as the input of the information in step 5, this input is detected in step 11, the operation circulates, and the living information database 16D is gradually enriched.

Next, as an example, a description will be given of the situation of forming a living information database when Hanako Yamada registers as a member on Hanako's terminal C1 on the website A1. Hanako Yamada enters her name, e-mail address, and password when registering as a member. If this input is in the correct format,
The web server AS sets an ID for Hanako Yamada and outputs the ID and registration information of Hanako Yamada to the system 10. Input information file 12F based on this new ID
Is formed. In synchronization with this, Hanako Yamada's life information database 16D is created.

FIG. 4 shows the living information database 16D of the founder Hanako Yamada. The ID, the encrypted password, and the nickname (nickname) have already been written as the definite elements, but Hanako Yamada, the real name, and the email address are secret information, so the life information database 1
Not written to 6D. Items to be stored in the database 16D include sex, date of birth, blood type, occupation, family structure, place of residence, nearest station, frequently used station, favorite food, disliked food, specialty field, and others. Life related items are set in advance, but in addition to these items,
New items can be added based on the accumulation of information. When the database 16D was created, nothing was written in these items.

After registering as a member, Hanako-san has a website A1.
If you access to and navigate to the fortune-telling site A11, you will inevitably enter the sex, date of birth, blood type, accurate name, etc. required for fortune-telling. FIG. 5 shows the database 16D after Hanako fortune-telling at the fortune-telling site A11. In the database 16D, "woman" is written in the item "sex", "1984/03/22" in "date of birth", and "A" in "blood type".

[0039] Furthermore, from the website A1, Hanako
By navigating to the website A12 that provides the scheduler and using the scheduler, Hanako Yamada's daily schedule that cannot be forgotten will be entered in the schedule book. FIG. 6 shows Hanako's weekly schedule book. These are stored in the input information file 12F of the storage means 12. The input information does not include the information directly written in the database 16D.

The extraction means 13 extracts "school", "homework" and "test" as life-related terms from these data, and the inference means 14 recognizes these terms as keywords related to "students". Further, the inference means 14 determines the age as “17 years old” from the date of birth “1984/03/22” already acquired in the database 16D, and calculates “student” & “17”.
"Year", "High school student" as the occupation to be applied to the database
Is selected as the most probable occupation. The signal generation means 15 is caused to generate a confirmation question as to whether or not the user is a “high school student”, and
It is output as the words of the character K appearing on the site A1. This output is displayed as the words of the character K on the schedule confirmation screen, and there is a button that allows members to select "YES" or "NO". If Hanako selects "YES", high school students will enter the input information file 12F. Is stored, the extraction means 13 extracts it, and as shown in FIG. 8, "high school student" is input to the "job type" section of the database 16D. In the case of “NO”, the same operation is repeated for the “vocational school student” listed as the second candidate.

In Hanako's schedule book, terms such as "Yu-kun" for "other party" and "date" for "requirement" are also entered. The inference means 14 searches for terms related to “date” to find “boyfriend,” “girlfriend,” “husband,” “wife,” and the like. From these, select "boyfriend" by referring to Hanako's age and "other" name "Yu-kun". The signal generation means 15 generates a question signal for confirming whether "Yu-kun" is "boyfriend" and asks the character K to ask a question on the schedule confirmation screen, and Hanako-san confirms "YES" or "NO". Prompt. In the case of "YES", "Yu-kun" is entered in the "dating partner" section of the database 16D in the same manner as above.

In this way, in the item of the database 16D, "Karaoke" is written in relation to "play", "Hitomi" is written in relation to "friend", and "Karaoke" is written in relation to "advantage".

When Hanako navigates to the transfer guidance Web site A14 and inputs a boarding station and a getting-off station as shown in FIG. 9, the inference means 14 determines the frequency of use from the station name list based on this data. About the highest "Kawaguchi Station",
As the item related to "boarding station", select "closest station" as the item with the highest probability from "closest station", "school attendance", "work place", "friend's house", "outside", etc. To do. As shown in FIG. 10, the character K is asked to confirm whether "Kawaguchi" is the "nearest station", and the confirmation input of "YES" or "NO" is prompted. If YES, database 1
"Kawaguchi" will be written in the "closest station" section of 6D. Also, “Shinjuku” and “Shibuya”, which are frequently used as “getting off stations”, are “Frequently used stations” in the database 16D.
Written as

FIG. 11 shows Hanako's database 1 updated after navigating to the transfer guidance website A14.
6D is shown.

When navigating to the dictionary search Web site A13 and searching for a certain word, for example, "heart" in the Japanese-English dictionary, "English" corresponding to "heart" is displayed as shown in FIG. The fact is input to the input information file 12F. The inference unit 14 infers a preference for English, that is, "like" or "dislike", selects "like" with high probability, and causes the signal generating unit 14 to generate an inquiry signal. If the answer to this question output is "YES", English is applied to the "good" section of the database 16D. English +
Based on its strengths, the inference means 14 determines study abroad, English conversation, overseas travel, interpretation, and translation as matters of interest, and displays them as a list on the screen as shown in FIG. To generate a question signal, and prompt the answer to select the word of the character K that is of interest.

By inputting this, the database 1
In 6D, English is the section you are good at, and study abroad is the section you are interested in.
Overseas travel was written, and as a result, the gender shown in FIG.
Hanako's database 16D filled with items such as date of birth, blood type, occupation, strength 1, strength 2, interest 1, interest 2, frequently used facility 1, partner, friend 1, etc.
Is formed.

As described above, by repeating the procedure of storing in the input information file 12F, extracting life-related terms, determining highly probable terms by inference, and confirming by questions, the contents of the items stored in the database 16D are changed. to fulfill. In the database 16D, many items related to an individual's daily life, hobbies, tastes, and habits are written throughout the life, and the written information can be searched and can be narrowed down by filtering. It can be provided with a quantitative scale such as degree of likes and dislikes, degree of attachment, etc. The database 16D becomes information that is a photograph of the life of each individual and is universalized.

Next, a method of using the database 16D formed as described above will be described. In this example, the advertiser wants to advertise a product on the Internet to consumers who may be interested in the product. For example, an English conversation school “MORE”, which has classrooms in Shinjuku and Shibuya, is launching two products, “America study abroad course” for college students and “Summer vacation homestay course” for high school students. This is a case where a high school student or a female college student wants to advertise to a target person who uses Shinjuku or Shibuya.

The database storage means 16 stores the database 16D of each registered member which has been created as described above and has a rich content, and the "profession" high school student / college student for all the stored database 16D; Gender ”Female;“ Station ”Shinjuku / Shibuya;“ Good ”/“ Interesting ”English / English Conversation / Overseas Travel / Study Abroad, Databases 16D as shown in Figure 15, for example
However, the above conditions are satisfied. Search target database 1
Assuming that the number of 6Ds is 358,700, for example, the database 16D of high school girls who satisfy the above conditions
00, 9,630 female university student database can be extracted as a search result, specify the corresponding high school student to send summer vacation homestay version advertisement, specify the corresponding female university student online advertisement for US study version can do.

That is, when a member corresponding to the dictionary search Web site A13 navigates, when the member is a high school student, an advertisement for summer vacation homestay is shown as shown in FIG. 16, and when the member is a female college student, a diagram is shown. As shown in 17, advertisements for studying in the United States are made to be carried out in the words of the character K, and from there, it is possible to link to the application page of the English conversation school “MORE”.

As described above, the living information forming system of the present invention allows the advertiser to carry out a lean advertisement targeting only registered members who are likely to be interested, and
Registered members can get advertisement information about matters they are always interested in in a timely manner.

When the number of registered members increases, the database 16
The number of D increases. Each member's access to the website A1 is increased, and each database 16D is enhanced. In this way, a large number of rich database 16
D is stored in the storage means 16. By repeating the narrowing down of the accumulated database with predetermined items, terms, etc. according to the purpose of the survey, it is possible to obtain the same result as when conducting a questionnaire for individuals corresponding to the database 16D. This questionnaire survey is a database 1 which is the accumulation of information of each member up to the point when the survey was executed.
Performed for 6D. Each database 16D is supported by the information in the daily life of the individual member, and is formed based on the data acquired by the input that does not affect the mood of the member to answer the confirmation question.

Therefore, this questionnaire survey is highly reliable because it can eliminate falsehoods due to momentum or freakiness on the spot, unlike a general street questionnaire survey. This questionnaire survey can be easily executed by computer operation. Therefore, while considering the results, it is possible to change the target of the narrowing, increase it, and perform various processing without being restricted by the condition set at the beginning. It is possible.

[0054]

[Brief description of drawings]

FIG. 1 is a comprehensive conceptual diagram of a living information forming system of the present invention.

FIG. 2 is a flowchart showing a part of the operation of the system shown in FIG.

FIG. 3 is a flowchart showing a part of the operation of the system shown in FIG.

4 is a conceptual diagram of an example of a database in the system of FIG.

5 is a conceptual diagram of the database of FIG. 4 that stores information.

FIG. 6 is a diagram showing an example of a website screen.

FIG. 7 is a diagram showing an example of a website screen.

8 is a conceptual diagram of the database of FIG. 4 that stores information.

FIG. 9 is a diagram showing an example of a screen of a website.

FIG. 10 is a diagram showing an example of a website screen.

FIG. 11 is a conceptual diagram of the database of FIG. 4 that stores information.

FIG. 12 is a diagram showing an example of a screen of a website.

FIG. 13 is a diagram showing an example of a screen of a website.

FIG. 14 is a conceptual diagram of the database of FIG. 4 that stores information.

FIG. 15 is a conceptual diagram of a plurality of databases that store information.

FIG. 16 is a diagram showing an example of a website screen displayed on an individual user terminal.

FIG. 17 is a diagram showing an example of a website screen displayed on an individual user terminal.

[Explanation of symbols]

10 ... Life information forming system, 11 ... Input / output interface, 12 ... Storage means, 12F ... Input information file, 1
3 ... Life information extracting means, 14 ... Inference means, 15 ... Signal generating means, 16 ... Database storing means, 16D ... Database.

Claims (8)

[Claims] 1. A. Forming an input information file containing information from individual users transmitted over the network; B. Creating a database for storing information related to the life of the individual in response to the formation of the input file; C. Extracting information relating to the life of the individual each time there is input of information in the file; D. Determining whether the extracted information can be stored in the database; E. In the determination, if it is determined that the information can be stored in the database, it is stored in the database, and if it is determined that the information cannot be stored, which of the preset terms can be stored in the database? Selecting in light of the information already stored in the file and the database; F. Outputting a signal to form a question on the terminal of the individual user for confirming the correctness of the selected term;
A method for forming personal life information, characterized in that the input of a response from the terminal of the individual user to the question is stored in the file, and thereafter, each step after step C is repeated. 2. The personal life information forming method according to claim 1, wherein the input information file formed in step A is specified by an identification number for identifying the individual. 3. The personal life information forming method according to claim 1, wherein the database created in step B is specified by an identification number for identifying the individual. 4. The personal life information forming method according to claim 1, wherein the information related to the life of the individual extracted in the step C is information expressed in words. 5. A. Forming an input information file containing information from individual users transmitted over the network; B. Creating a database for storing information related to the life of the individual in response to the formation of the input file; C. Extracting information relating to the life of the individual each time information is stored in the file; D. Determining whether the extracted information can be stored in the database; E. In the determination, if it is determined that the information can be stored in the database, it is stored in the database, and if it is determined that the information cannot be stored, which of the preset terms can be stored in the database? Selecting in light of the information already stored in the file and the database; F. Outputting a signal to form a question on the terminal of the individual user for confirming the correctness of the selected term; G. An input of a response from the terminal of the individual user to the question is stored in the file, and thereafter, the steps after step C are repeated; Setting arbitrary filtering conditions in the database; I. Performing a search under the set narrowing-down condition; J. And a step of outputting the result of the search; 6. Receiving means for receiving information from an individual user transmitted via a network; storage means for storing personal information received by the receiving means; personal information stored in the storage means Means for extracting information relating to the life of the person; a judging means for judging whether the information extracted by the extracting means satisfies a predetermined condition; a database of information judged by the judging means for satisfying the predetermined condition Storage means for storing the information stored in the storage means; the information determined by the determination means as not satisfying the predetermined condition is preset based on the information stored in the storage means and the information already stored in the database. Inference means for selecting a highly probable term from a plurality of terms by inference; a question message for confirming the correctness of the term selected by the inference means. Signal generating means for generating a; and output means for outputting the interrogation signal is generated the signal generating means;
A personal life information forming system characterized by being equipped with. 7. A program for receiving information from an individual user transmitted via a network and forming personal living information, the information being transmitted from an individual user via a network to a computer. Receiving means for receiving the information; storage means for storing the personal information received by the receiving means; extraction means for extracting information relating to the life of the individual from the personal information stored in the storage means; Determination means for determining whether or not the information satisfies a predetermined condition; storing means for storing information determined by the determination means as satisfying the predetermined condition as a database; and if the determination means does not satisfy the predetermined condition Regarding the determined information, in light of the information stored in the storage means and the information already stored in the database,
Inference means for selecting a highly probable term from a plurality of preset terms by inference; signal generation means for generating an inquiry signal for confirming the correctness of the term selected by the inference means; and the signal generation A program for functioning as output means for outputting the inquiry signal generated by the means to the terminal of the individual user. 8. Receiving means for receiving information from an individual user transmitted via a network; storage means for storing personal information received by the receiving means; personal information stored in the storage means Extraction judging means for extracting information related to the life of the person and judging whether or not the extracted information satisfies a predetermined condition; a storage for storing the information judged by the extraction judging means as satisfying the predetermined condition as a database Means; a plurality of preset terms in relation to the information determined by the extraction determination means not satisfying the predetermined condition in light of the information stored in the storage means and the information already stored in the database Reasoning means for selecting a term having a high probability from among the above by reasoning; generating a question signal for confirming the correctness of the term selected by said reasoning means No. generating unit; and an output unit for outputting the question signal generated by the signal generating unit to the terminal of the individual user; a setting unit for setting an arbitrary narrowing condition in the database; a search is executed by the set narrowing condition. An individual living information research system, comprising: an executing means for executing; and an outputting means for outputting a search result.