JP5111330B2 - Personal information analyzing apparatus, personal information analyzing method and program - Google Patents

Description

  The present invention relates to a personal information analysis device, a personal information analysis method, and a program.

Currently, a Web (web) page management device is based on service usage history such as a reference history and purchase history of the Web page, and personal information such as the age, sex, and current location of the Web access person accessing the Web page. Technology for extracting marketing information is used. Here, the marketing information is, for example, “in a certain age group, which products and products are likely to be purchased together”, “average characteristics of users purchasing this product”, “ Information such as “hobby / preference”. In addition, a technique is also used in which information about a user's situation, for example, “the user is currently free (can afford to see an advertisement)” is extracted and reflected in the layout of a Web page or used for advertisement.
For example, in the technology described in Non-Patent Document 1, the management apparatus collects web page browsing history, analyzes the contents of the browsed web page, and displays an advertisement for a service that is likely to be of interest to the user. .
“NTT Data and cci, providing high-accuracy behavioral targeting advertising services”, [online], Nikkei BP, Inc., [October 1, 2008 search], Internet <URL: http://www.nikkeibp.co. jp / news / it07q4 / 550474 /〉

To extract semantic information such as marketing information and user status, personal information managed by the service provider may be used, or personal information stored in the user terminal managed by the user may be used. In some cases, personal information stored in anonymously published blogs may be used.
For example, when a service provider intends to extract semantic information using the user's personal information, if the user's personal information is acquired and used from other service providers, the personal information to be analyzed The number of types and quantities increases, and the accuracy of semantic information analysis increases. However, in order to use a user's personal information managed by another service provider, it is necessary to obtain permission from the user. However, there is a problem that it is difficult to obtain permission from the user because it is not directly beneficial to the user for use in marketing or the like, and it is difficult to share personal information among companies. In addition, if the user's personal information is disclosed to various service providers, there is a concern that the risk of leakage of privacy information and unauthorized use increases.
On the other hand, for those who use personal information, the extracted semantic information is required, but the semantic information often does not include information identifying individuals such as information obtained by statistically processing the behavior of a large number of users. . However, when personal information is used to extract them, there is a problem that costs for managing confidential information are generated.
The present invention has been made in view of the above points, and its purpose is to provide semantic information generated based on personal information to a user who has not obtained permission from the user to use personal information. An object of the present invention is to provide a personal information analyzing apparatus, a personal information analyzing method and a program that can be used.

The present invention has been made to solve the above-described problems, and one aspect of the present invention is an apparatus for analyzing personal information that generates semantic information that is generated based on personal information and does not include the personal information itself. An access information storage unit that stores a storage location in which personal information of a user is stored, an analysis request reception unit that receives a type of semantic information from a terminal of a personal information user, and the analysis request reception unit Acquired from the access information storage unit the storage location of the personal information corresponding to the type of the received semantic information, and acquired by the personal information acquisition unit, the personal information acquisition unit that acquires the personal information from the acquired storage location A personal information analysis unit that generates the semantic information using the personal information, and a response that transmits the semantic information generated by the personal information analysis unit to the terminal of the personal information user. And parts for each type of the semantic information, the a usage range storage unit for storing the usage range of the semantic information, the analysis request receiving unit the use range storage usage range corresponding to the type of the semantic information received by And a usage range determination unit that determines whether or not the personal information user is within the usage range, and the personal information analysis unit is configured so that the personal information user personal information analysis apparatus characterized that you generate semantic information only when it is determined to be within the available range.

Further, according to one aspect of the present invention, in the personal information analysis apparatus, the usage range storage unit may use the personal information as the usage range if the personal information user is any person. Information indicating whether it is possible is stored.

  According to another aspect of the present invention, in the personal information analyzing apparatus, the number of times semantic information is generated using the personal information of the user and the number of times semantic information is provided to the personal information user are counted. And a billing information counting unit.

  Further, according to one aspect of the present invention, in the personal information analyzing apparatus, the access information storage unit further stores a mail address for each user, based on a mail from the terminal of the personal information user, A mail transfer unit that reads out the mail address corresponding to the personal information used for generating the semantic information transmitted by the response unit from the access information storage unit and transmits the mail to the mail address; Features.

Another embodiment of the present invention, there is provided a personal information analysis method in the personal information analysis device comprising an access information storage unit for storing the storage location personal information of the user is stored, it said personal information analyzer, personal A receiving step of receiving from a personal information user's terminal a type of semantic information that is generated based on information and does not include personal information itself; and the personal information analyzing device received in the receiving step get the storage location of the personal information corresponding to the type of semantic information from the access information storage unit, and the personal information acquiring step of acquiring personal information from the acquired storage location, said personal information analyzing apparatus, the personal information acquisition and personal information analyzing step of generating the semantic information using the acquired the personal information in step, the personal information analyzing apparatus, before And transmitting the semantic information generated in the personal information analyzing step to the terminal of the personal information user, the usage range of the personal information analyzing apparatus, corresponding to the type of the semantic information received in said receiving step, A usage range determination step for acquiring from the usage range storage unit that stores the usage range of the semantic information for each type of semantic information, and determining whether the personal information user is within the usage range; The personal information analyzing apparatus generates the semantic information only when the personal information user is determined to be within the usage range in the usage range determination step in the personal information analysis step. This is a personal information analysis method.

Another aspect of the present invention is information that is generated based on personal information and does not include personal information in a computer including an access information storage unit that stores a storage location where personal information of a user is stored. personal information the type of information a receiving step of receiving from the terminal of the personal information user, acquires the storage location of the personal information corresponding to the type of the semantic information received from the access information storage unit, from the acquired storage location In the personal information analysis step of generating the semantic information using the acquired personal information, transmitting the generated semantic information to the terminal of the personal information user, and receiving in the receiving step A usage range storage that stores a usage range corresponding to the type of semantic information that is stored for each type of semantic information. Obtained from the personal information the user to execute a determining usage range determination step of determining whether or not it is within the use range, to a computer, in the personal information analyzing step, to said computer, the application range determining it is because the program to generate the semantic information only if the personal information user is determined to be within the available range in the step.

  According to the present invention, the storage location where the personal information of each user is stored is stored, and the semantic information is generated using the personal information acquired from the storage location. Then, since the generated semantic information is transmitted to the requesting personal information user terminal, the semantic information generated based on the personal information is provided to the user who has not obtained permission from the user to use the personal information. Can be provided.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a block diagram showing a functional configuration of a personal information analyzing apparatus 1 according to an embodiment of the present invention.
The personal information analysis device 1 is a server device managed by a personal information analysis mediation service provider that provides a personal information analysis mediation service. The personal information analyzing apparatus 1 stores an analysis request receiving unit 11, a use range determining unit 12, a personal information analyzing unit 13, a personal information acquiring unit 14, a response unit 15, and personal information of each user. The access information storage unit 16 stores the storage location, the accounting information counting unit 17, and the usage range storage unit 18 that stores the usage range of the semantic information. Here, the personal information is information that uniquely identifies a user, such as a user ID or name, and information that represents the characteristics of a single user, such as purchase history, schedule, and position information that accompanies it. The semantic information is information that is generated based on personal information and does not include personal information itself. Semantic information can be used for marketing and the like, but does not represent the characteristics of a single user. The personal information user is a user of semantic information. The user is a provider of personal information.

The analysis request receiving unit 11 receives an analysis request from the personal information user terminal 2 managed by the personal information user. The analysis request is a message including the type of semantic information and a personal information user ID for uniquely identifying the personal information user.
The usage range determination unit 12 acquires a usage range corresponding to the type of received semantic information from the usage range storage unit 18, and the personal information user terminal 2 (personal information user) who transmitted the analysis request is within the usage range. It is determined whether or not there is. When the usage range determination unit 12 determines that the usage range is within the usage range, the usage range determination unit 12 outputs the type of the received semantic information to the personal information acquisition unit 14. On the other hand, when it is determined that it is out of the usage range, the response unit 15 notifies the personal information user terminal 2 that requested the analysis that the semantic information cannot be acquired.
The personal information acquisition unit 14 acquires personal information corresponding to the type of input semantic information from the service providing apparatus 3 or the user terminal 4.
The personal information analysis unit 13 uses the personal information acquired by the personal information acquisition unit 14 to generate semantic information requested for analysis.
The response unit 15 transmits the semantic information generated by the personal information analysis unit 13 to the personal information user terminal 2 that is the analysis request source.
The accounting information counting unit 17 counts the number of times semantic information has been generated for each user using personal information. Further, the billing information counting unit 17 counts the number of times semantic information is provided to each individual information user.

FIG. 2 is a schematic diagram illustrating a data structure and a data example of a semantic information table stored in the access information storage unit 16 according to the present embodiment.
As shown in the figure, the semantic information table is a two-dimensional tabular data composed of rows and columns, and includes a column of items of semantic information types, semantic information attributes, and personal information to be used. Yes. The type of semantic information represents the content of the semantic information. The personal information to be used is a type of personal information used for generating semantic information. The attribute of semantic information is the attribute value of each semantic information, and the following three attribute values (1) link information to an individual, (2) link information to an anonymized individual, and (3) statistical processing information Can be taken. The link information is information for identifying an individual.
The data in the first row shown in FIG. 2 indicates that the attribute of the semantic information corresponding to the type of semantic information “type name of a product that is frequently purchased by men in their 40s together with the keyword“ X ”” is “statistical processing”. "Information" and the personal information to be used is "purchase history". The data in the second row indicates that the semantic information attribute corresponding to the type of semantic information “notification including position information when the status of the user with the specified ID changes to“ free ”” is “link information to an individual”. ", Indicating that the personal information to be used is" location information "and" schedule ".

FIG. 3 is a schematic diagram illustrating a data structure and a data example of a usage range table stored in the usage range storage unit 18 according to the present embodiment.
As shown in the figure, the usage range table is two-dimensional tabular data composed of rows and columns, and includes attributes of semantic information and columns of items of usage ranges. The use range represents a personal information user who can use semantic information.
The data on the first line shown in FIG. 3 indicates that the usage range corresponding to the attribute “statistical processing information” of the semantic information is “available regardless of the personal information user”. The data on the second line indicates that the range of use corresponding to the attribute of semantic information “link information to anonymized individuals” is “trusted by a personal information user or a personal information analysis mediation service provider who has a trust relationship with the user. It can be used only by a personal information user who guarantees the sex ”. The data in the third row indicates that the use range corresponding to the attribute “link information to the individual” of the semantic information is “available only to users of personal information having a trust relationship with the user”.

FIG. 4 is a schematic diagram illustrating a data structure and a data example of the trust relationship table stored in the use range storage unit 18 according to the present embodiment.
As shown in the figure, the trust relationship table is two-dimensional tabular data composed of rows and columns, and has columns of items of personal information user ID and user ID. The personal information user ID is identification information for uniquely identifying a personal information user. The user ID is identification information that uniquely identifies the user. In the trust relationship table, the individual user ID corresponding to each user ID represents a personal information user having a trust relationship with the user.
In the example illustrated in FIG. 4, the personal information user who has a trust relationship with the user ID “001” is “aaa”. The personal information users having a trust relationship with the user ID “002” are “aaa” and “bbb”.

FIG. 5 is a schematic diagram illustrating a data structure and a data example of the personal information user table stored in the use range storage unit 18 according to the present embodiment.
As shown in the figure, the personal information user table is a two-dimensional tabular data composed of rows and columns. The individual information user ID, the attributes of the personal information user, and the columns of each item of the response count are shown. Have. The attribute of the personal information user is an attribute value of each personal information user. The following two attribute values are “personal information user whose personal information analysis mediation service provider guarantees reliability” and “third party”. Can be taken. The number of responses represents the number of times corresponding to the analysis request.
The data in the first row shown in FIG. 5 indicates that the attribute corresponding to the personal information user ID “aaa” is “third party” and the number of responses is “4”. In the data on the second row, the attribute corresponding to the personal information user ID “bbb” is “personal information user whose reliability is guaranteed by the personal information analysis mediation service provider”, and the number of responses is “5”. It represents that. The data on the third line indicates that the attribute corresponding to the personal information user ID “ccc” is “third party” and the response count is “1”. In the data on the fourth row, the attribute corresponding to the personal information user ID “ddd” is “personal information user whose personal information analysis mediation service provider guarantees reliability”, and the number of responses is “3”. It represents that.

FIG. 6 is a schematic diagram illustrating a data structure and a data example of a user table stored in the access information storage unit 16 according to the present embodiment.
As shown in the figure, the user table is a two-dimensional tabular data composed of rows and columns, and includes columns for each item of user ID, purchase history, location information, schedule, and number of times personal information is used. is doing. The purchase history is an address (storage location) where the purchase history is stored. The position information is an address (storage location) where the position information is stored. The schedule is an address (storage location) where the schedule is stored. The number of times personal information is used represents the number of times the personal information analysis device 1 has generated semantic information using the user's personal information.
The data in the first row shown in FIG. 6 indicates that the purchase history storage location corresponding to the user ID “001” is “http://xxx.xxx” and the number of times personal information is used is “3”. . The data in the second row indicates that the purchase history storage location corresponding to the user ID “002” is “http://xxx.xxx” and the personal information usage count is “4”. In the data on the third line, the purchase history storage location corresponding to the user ID “003” is “http://xxx.xxx”, the location information storage location “http: //yyy.yyy”, and the schedule Is stored at “http: //zzz.zzz”, and the personal information usage count is “10”.

Next, the operation of the personal information analyzing apparatus 1 described above will be described with reference to FIG. FIG. 7 is a flowchart showing a procedure of personal information analysis processing.
First, in step S <b> 1, the analysis request receiving unit 11 receives an analysis request from the personal information user terminal 2. The analysis request includes the type of semantic information and the personal information user ID. Hereinafter, when the type of semantic information received is “a type name of a product frequently purchased by a man in his 40s together with the keyword“ wine ”” (example 1), the type of semantic information is “specified” A case (example 2) will be described in which the ID user status is “notification including position information when transitioning to“ free ””. In the case of Example 1, the keyword “wine” is included in the analysis request. In the case of Example 2, the target user ID is included in the analysis request.

  Next, in step S2, the use range determination unit 12 determines whether or not the personal information user terminal 2 that has transmitted the analysis request can use the semantic information requested for the analysis. Specifically, first, the usage range determination unit 12 acquires the attribute of semantic information corresponding to the type of received semantic information from the semantic information table. In the case of Example 1, the usage range determination unit 12 acquires the attribute “statistical processing information” of the semantic information from the semantic information table. In the case of Example 2, the use range determination unit 12 acquires the attribute “link information to the individual” of the semantic information from the semantic information table. Next, the usage range determination unit 12 acquires a usage range corresponding to the attribute of the acquired semantic information from the usage range table. In the case of Example 1, the usage range determination unit 12 acquires the usage range “available regardless of the personal information user” from the usage range table. In the case of Example 2, the usage range determination unit 12 acquires the usage range “available only to users who have a trust relationship with the user” from the usage range table. Then, the usage range determination unit 12 determines whether the personal information user of the analysis request source is within the usage range. In the case of Example 1, the usage range determination unit 12 determines that the usage request range is within the usage range for the personal information user of the analysis request source because the usage range is “available regardless of the personal information user”. . In the case of Example 2, the usage range determination unit 12 uses the user ID and the personal information user ID received in step S1 because the usage range is “available only to personal information users who have a trust relationship with the user”. Are stored in the trust relationship table. Then, the use range determination unit 12 determines that the personal information user of the analysis request source is within the use range only when a set of the user ID and the personal information user ID is stored in the trust relationship table. If it is determined that it is within the usage range, the process proceeds to step S4. On the other hand, if it is determined that it is outside the usage range, the process proceeds to step S3.

  In step S3, the response unit 15 notifies the personal information user terminal 2 of the analysis request source that the semantic information cannot be used.

  On the other hand, in step S4, the personal information analysis unit 13 generates semantic information using the personal information. Specifically, first, the personal information acquisition unit 14 acquires personal information to be used corresponding to the type of received semantic information from the semantic information table. Next, the personal information acquisition unit 14 acquires the storage location of the acquired personal information to be used from the user table. Then, the personal information acquisition unit 14 acquires personal information from the acquired storage location. In the case of Example 1, the personal information acquisition unit 14 acquires purchase history of each user from the service providing device 3 managed by a service provider that provides services such as Internet shopping. In the case of Example 2, the personal information acquisition unit 14 monitors the user's schedule and position information. That is, the personal information acquisition unit 14 acquires the schedule and position information corresponding to the received user ID at regular intervals from the service providing apparatus 3 managed by a service provider that provides a schedule management service or the like. Then, the personal information analysis unit 13 generates semantic information using the acquired personal information. In the case of Example 1, the personal information analysis unit 13 types of products purchased together with “wine” based on the purchase history acquired from the service providing device 3 corresponding to the address “http://xxx.xxx”. The ratio for each is calculated, and semantic information “wine opener 5%, cheese 3%,...” Is generated. In the case of Example 2, the personal information analysis unit 13 receives the schedule acquired from the address “http: //zzz.zzz” service providing apparatus 3 and the service providing apparatus 3 corresponding to the address “http: //yyy.yyy”. Based on the acquired current position information, the distance between the current position and the next scheduled place is close, but when there is time to the next schedule, it is determined as "free" and is "free" Generates a message containing information and location information.

  In step S5, the response unit 15 transmits the semantic information generated in step S4 to the personal information user terminal 2 that is the analysis request source. In the case of Example 1, the response unit 15 transmits semantic information “wine opener 5%, cheese 3%,...” To the personal information user terminal 2. In the case of Example 2, the response unit 15 transmits a notification including the position information of the user to the personal information user terminal 2.

  In step S6, the billing information counting unit 17 counts the number of times semantic information has been generated for each user using personal information. Specifically, the billing information counting unit 17 acquires the personal information usage count corresponding to the user ID of the user who used the personal information in the process of step S4 from the user table, and adds 1 to the acquired personal information usage count. To do. Then, the billing information counting unit 17 writes the added personal information usage count in the user table. Further, the billing information counting unit 17 counts the number of times corresponding to the analysis request to the personal information user who provided the semantic information. Specifically, the billing information counting unit 17 acquires the response count corresponding to the personal information user ID received in step S1 from the personal information user table, and adds 1 to the acquired response count. Then, the billing information counting unit 17 writes the added response count in the personal information user table.

Accordingly, the personal information analysis mediation service provider that provides the personal information analysis mediation service can charge the personal information user based on the number of responses stored in the personal information user table. Further, the personal information analysis mediation service provider can pay the user a part of the profit charged to the personal information user based on the number of times personal information is stored in the user table.
In the case of Example 1, the personal information user can use the information for the layout of the supermarket product display based on the acquired semantic information. Further, in the case of Example 2, when the personal information user receives the semantic information “notification that the user is“ free ””, the personal information user receives an advertisement mail for notifying the service available from the current position of the user. It can be sent to.

Thus, according to the present embodiment, the storage location where the personal information of each user is stored is stored, and the semantic information is generated using the personal information acquired from the storage location. Then, since the generated semantic information is transmitted to the requesting personal information user terminal 2, the semantic information generated based on the personal information is provided to a user who has not obtained permission from the user. Moreover, since the use range of the semantic information is set, for example, it is possible to prevent leakage of personal information that identifies the user to a third party.
Further, since the number of times personal information is used for each user is counted, the user can be paid in accordance with the number of times personal information is used. Thereby, a merit arises for a user and it becomes easy to obtain permission for the use of personal information. In addition, by using the personal information analysis mediation service, personal information users do not need to collect personal information from users and contracts for using personal information, and without having to manage personal information, High-value semantic information such as marketing information extracted from information can be used.

Next explained is a personal information analyzing apparatus according to the second embodiment of the invention.
FIG. 7 is a block diagram showing a functional configuration of the personal information analyzing apparatus 100 in the present embodiment. As shown in FIG. 7, the personal information analyzing apparatus 100 includes a mail transfer unit 109 in addition to the configuration shown in FIG. 1.
The mail transfer unit 109 receives a mail transfer request from the personal information user terminal 2. The mail transfer request is a message including a user ID and mail. The mail transfer unit 109 acquires a mail address corresponding to the received user ID from the user table, and transfers the received mail to the acquired mail address. The mail transfer unit 109 may transfer the mail to all the user terminals 4 when the user ID is not included in the mail transfer request. Alternatively, when the identification information of the semantic information generated in the mail transfer request is included in the mail transfer unit 109, the mail transfer unit 109 obtains the mail address corresponding to the personal information used to generate the semantic information from the access information storage unit 106. You may read and send the received mail to the mail address. That is, the mail transfer unit 109 reads the mail address corresponding to the personal information used to generate the semantic information transmitted by the response unit 105 from the access information storage unit 106, and transmits the mail to the mail address.

FIG. 8 is a schematic diagram illustrating a data structure and a data example of a user table stored in the access information storage unit 106 according to the present embodiment.
As shown in the figure, the user table in the present embodiment includes an item of mail address in addition to the items shown in FIG. That is, the user table further stores a mail address for each user.

  As a result, even if the personal information user terminal 2 does not know the user's email address, the personal information user terminal 2 transmits an email about the acquired semantic information to the user corresponding to the personal information from which the semantic information is generated. Can do. For example, in the case of Example 1, the personal information user terminal 2 sends a wine opener advertisement mail based on the semantic information “Wine Opener 5%, Cheese 3%,...” And the personal information that is the generation source of the semantic information. It can be sent to the user who provided it. Further, in the case of Example 2, when the personal information user terminal 2 receives the semantic information “notification that the user is“ free ””, the personal information user terminal 2 sends an advertisement mail notifying the user of a service available from the current position of the user. It can be transmitted to the user terminal 4.

  Thus, according to the present embodiment, the personal information user terminal 2 can transmit an advertisement mail or the like to the user without knowing the user's mail address. Further, it is possible to prevent the user's email address from leaking to the personal information user.

Further, a personal information analysis process is performed by recording a program for realizing each step shown in FIG. 7 on a computer-readable recording medium, causing the computer system to read and execute the program recorded on the recording medium. May be performed. Here, the “computer system” may include an OS and hardware such as peripheral devices.
Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW system is used.
The “computer-readable recording medium” means a flexible disk, a magneto-optical disk, a ROM, a writable nonvolatile memory such as a flash memory, a portable medium such as a CD-ROM, a hard disk built in a computer system, etc. This is a storage device.

Further, the “computer-readable recording medium” means a volatile memory (for example, DRAM (Dynamic DRAM) in a computer system that becomes a server or a client when a program is transmitted through a network such as the Internet or a communication line such as a telephone line. Random Access Memory)), etc., which hold programs for a certain period of time.
The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.
The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

As described above, the embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to the above, and various design changes and the like can be made without departing from the scope of the present invention. It is possible to
For example, in the present embodiment, purchase history, location information, and a scheduler are used as personal information. For example, the user's age, address, gender, hobby, career, service usage history, presence information, location, and personal use of the user. Using various sensing information (body temperature, blood pressure, acceleration, illuminance, etc.), images related to the user, video, audio, text, links to anonymously published blogs (Weblogs), etc. Also good.
In this embodiment, the personal information user terminal 2, the service providing apparatus 3, and the user terminal 4 are described as one unit, but a plurality of personal information user terminal 2, service providing device 3, and user terminal 4 may be provided.
The user ID used by the personal information user may be a user ID that cannot be linked to the user. In this case, the personal information analysis device 1 or 100 stores a table that associates a user ID used by a personal information user with an ID that can be linked to the user.

It is a block diagram which shows the structure of the personal information analysis apparatus by embodiment of this invention. It is the schematic which shows the data structure and data example of a semantic information table which the access information storage part in this embodiment memorize | stores. It is the schematic which shows the data structure and data example of the utilization range table which the utilization range storage part in this embodiment memorize | stores. It is the schematic which shows the data structure and data example of the trust relationship table which the utilization range storage part in this embodiment memorize | stores. It is the schematic which shows the data structure and data example of a personal information user table which the access information storage part in this embodiment memorize | stores. It is the schematic which shows the data structure and data example of a user table which the access information storage part in this embodiment memorize | stores. It is a flowchart which shows the procedure of the personal information analysis mediation process in this embodiment. It is a block diagram which shows the structure of the personal information analysis apparatus in this embodiment. It is the schematic which shows the data structure and data example of a user table which the access information storage part in this embodiment memorize | stores.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Personal information analysis mediation apparatus 2 ... Personal information user terminal 3 ... Service provision apparatus 4 ... User terminal 11, 101 ... Analysis request receiving part 12, 102 ... Usage range determination part 13, 103 ... Personal information analysis part 14, 104 ... Personal information acquisition unit 15, 105 ... Response unit 16, 106 ... Access information storage unit 17, 107 Accounting information coefficient unit 18, 108 ... Usage range storage unit 109 ... Mail transfer unit

Claims (6)

A personal information analysis device that generates semantic information that is generated based on personal information and does not include personal information itself,
An access information storage unit for storing a storage location where personal information of the user is stored;
An analysis request receiver that receives the type of semantic information from the terminal of the personal information user;
A personal information acquisition unit that acquires a storage location of personal information corresponding to the type of semantic information received by the analysis request reception unit from an access information storage unit, and acquires personal information from the acquired storage location;
A personal information analysis unit that generates the semantic information using the personal information acquired by the personal information acquisition unit;
A response unit that transmits the semantic information generated by the personal information analysis unit to the terminal of the personal information user;
For each type of semantic information, a usage range storage unit that stores a usage range of the semantic information;
Usage range determination unit that acquires a usage range corresponding to the type of the semantic information received by the analysis request reception unit from the usage range storage unit and determines whether the personal information user is within the usage range. When,
Equipped with a,
The personal information analyzing section, the use range determination unit by the personal information user personal information analyzing apparatus characterized that you generate semantic information only when it is determined to be within the available range.   The usage range storage unit stores, as the usage range, information indicating what kind of person the personal information user can use the personal information. Item 2. The personal information analysis device according to Item 1.   3. A billing information counting unit that counts the number of times semantic information is generated using personal information of the user and the number of times semantic information is provided to the personal information user. The personal information analysis device described in 1. The access information storage unit further stores a mail address for each user,
Based on the email from the personal information user's terminal, the email address corresponding to the personal information used to generate the semantic information transmitted by the response unit is read from the access information storage unit, and the email address The personal information analysis apparatus according to claim 1, further comprising a mail transfer unit that transmits the mail. A personal information analysis method in a personal information analysis apparatus comprising an access information storage unit for storing a storage location where personal information of a user is stored,
A receiving step of the personal information analyzing apparatus, a kind of semantic information is information that does not contain the generated and personal information itself based on personal information, received from the terminal personal information user,
Personal information the personal information analyzing apparatus, obtains the storage location of the personal information corresponding to the type of the semantic information received in the receiving step from the access information storage unit, acquires the personal information from the acquired storage location An acquisition step;
The personal information analyzing apparatus, and personal information analyzing step of generating the semantic information by using the personal information acquired in the personal information acquiring step,
The personal information analyzing device transmitting the semantic information generated in the personal information analyzing step to the terminal of the personal information user;
The personal information analyzer acquires a usage range corresponding to the type of semantic information received in the receiving step from a usage range storage unit that stores the usage range of the semantic information for each type of semantic information, A usage range determination step for determining whether or not the personal information user is within the usage range;
I have a,
The personal information analyzing device generates the semantic information only when the personal information user is determined to be within the usage range in the usage range determination step in the personal information analysis step. Personal information analysis method. In a computer comprising an access information storage unit for storing a storage location where personal information of a user is stored,
A receiving step of receiving from the personal information user's terminal a type of semantic information that is generated based on the personal information and does not include the personal information itself ;
Acquiring personal information to the storage location of the personal information corresponding to the type of said received semantic information obtained from the access information storage unit, from the acquired storage location,
A personal information analysis step of generating the semantic information using the acquired personal information ;
Transmitting the generated semantic information to the terminal of the personal information user;
The usage range corresponding to the type of semantic information received in the receiving step is acquired from a usage range storage unit that stores the usage range of the semantic information for each type of semantic information, and the personal information user uses the usage range. A use range determination step for determining whether or not the range is within the range;
To the computer ,
Wherein the personal information analyzing step, to said computer, said application range determining order of the program to generate the semantic information only if the personal information user is determined to be within the available range in the step.

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