JP2005149125A - Private information storage system and private information management apparatus, and information storage method and information management method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically store an experienced event and to take out highly useful information for an individual by a system which has more satisfactory responsiveness and is more efficient than a system performing keyword retrieval in a network. <P>SOLUTION: A structure where information being the object of retrieval is selected from pieces of information directly related to the user which are obtained by storing pieces of information which are obtained from the experience of a user and pieces of information necessary for the user is provided with a data analysis part 22 extracting information having the same keyword from information stored in a data storage part 15, calculating a time interval of extracted information, and generating an interval list, and a list storage part 23 storing the interval list generated in the data analysis part 22. Information to be provided to the user is arranged in accordance with an access interval to the pieces of information when information related to a prescribed place, a prescribed category, and a prescribed condition is repetitively accessed at the time of retrieving information by the user. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a private information storage device, a private information management device, an information storage method, and an information management method, and more particularly, information related to events experienced by a user and private information that the user needs privately. It is an object of the present invention to provide a private information storage device and a private information management device that store information in association with each other, as well as an information storage method and an information management method.

  2. Description of the Related Art In recent years, an environment in which a vast amount of information can be provided and obtained has been improved due to the development of a network such as the Internet and the spread of a large-capacity recording medium. Along with this, various information providing services have been proposed, and these information providing services have been devised in various ways to handle a large amount of information efficiently and effectively.

  As an example, the information providing side characterizes each individual by extracting the personal preference of the user who is the providing destination, and provides information and services that match this (a personal information provider). )). For example, it is employed in an online service that can purchase goods from a site on a network. In a service that allows you to purchase books on the network, by introducing information personalization, when a user purchases a book, a function that presents a recommended book from the work list of the author of the purchased book, the same book as this user A function of presenting other books purchased by other user groups who purchased the product, a function of notifying other users of information that the user thinks useful, and the like are realized. Further, the side receiving information (the side viewing information) can change the operating environment, settings, etc. in accordance with individual user preferences (customization). For example, this is a function that can change the responsiveness of the mouse and change the color scheme and font of the window.

  A system that can use information efficiently and effectively by applying such personalization and customization to the provision of information is already known. In addition, as an advanced type of personalization, technology that profiles user behavior on the network in real time, technology that learns the user's operation habits and provides a GUI that matches user preferences, and monitoring user reaction For example, a technique for observing user preference and reaction to content recommended by an agent is considered.

  As described above, by combining the information provided by the provider with each individual, it becomes possible to provide so-called push-type information that provides the optimum information for what the information or service is desired, and the provision of information. The receiving side can easily obtain desired information.

  However, in order to tailor the provided information to each individual (personalization), the information provider collects personal level information through questionnaires on paper and sites, etc., or the user's action history ( In the example of the book, it is necessary to collect purchase history and the like. For example, some of the information provision services using the Internet have already used information on the price of wedding ceremony / banquet halls, English conversation classes, various culture schools, etc., and information on atmosphere, service contents, etc. We will collect it by questionnaire, etc., apply the collected results to a predetermined rule, and use it by matching the information, that is, information about the facility and experience information from the user together on the display screen There are services that provide judgment materials when determining facilities and providers.

  In this information providing service, when the information is made available among a plurality of users, when the user publishes the experience data, the user can provide the information according to the experience level, and the user who searches for information has high accuracy. By visualizing the collected experience data of each user so that information (information close to the desired information) can be obtained, the search operation step for searching for desired information from a large amount of character information is simplified. (For example, refer to Patent Document 1).

  In the technology described in Patent Document 1, much of the information collected from those that have already used the wedding / banquet hall is character information, and the user attaches importance to the provided character information. It is difficult to immediately recognize whether or not information content is included. Therefore, in the conventional system, it is necessary to read a lot of character information that is not originally required, and it may be difficult to find information that the user needs. In this way, many of the personalization techniques that match the provided information to each individual (information personalization) use the technology to extract the user's preference model and provide services that individual users prefer. In this case, it is used for information management when information is shared among a plurality of users, but it does not necessarily reflect the fine preferences of individual users who need information.

JP 2003-16202 A

  The present invention manages information related to events experienced by the user so that it can be stored and read out, has better response than the keyword search method in the network, and the process of selecting desired information from the extracted information is also efficient. It is an object of the present invention to provide a private information storage device and a private information management device that can extract information that is both personal and useful for individuals.

  In order to achieve the above-described object, the private information storage device according to the present invention uses information acquisition means for acquiring experience information related to an event experienced by a user and including time information, and used for the acquired experience information. Information adding means for adding private information privately required by the person, storage means for accumulating experience information and private information, and experience information with private information added by the private information adding means Data storage control means for classifying the information into the storage means and storing it in the storage means, and the information obtained repeatedly from the accumulated experience information and private information is extracted in a predetermined period, and the time interval of the extracted experience information is determined. Experience occurrence interval list creation means for creating an experience occurrence interval list calculated from time information and associated with experience information, and experience interval storage means for storing the experience occurrence interval list created by the experience occurrence interval list creation means Information obtained repeatedly from the experience information accumulated in the accumulation means by the experience occurrence interval list creating means is extracted in a predetermined period, and the time interval of the extracted experience information is calculated from the time information, and the experience information An experience occurrence interval list associated with the above is created and stored in the experience interval storage means.

  Further, the private information management device according to the present invention includes a search input means for inputting a search condition by the user to the private information storage device, an information presentation means for presenting information to the user, and a search input means. Information that searches for information that matches the information stored in the storage means based on the search condition entered in the above, and that preferentially presents information in which the experience occurrence interval list is stored in the experience interval storage means to the information presentation means The information retrieval / presentation control means preferentially presents the experience information stored as the experience occurrence interval list.

  In the above-described private information storage device and private information management device, the experience occurrence interval list creating means is an experience occurrence interval list only when information that is repeatedly acquired or information that is repeatedly input as a search condition occurs periodically. May be created. The experience occurrence interval list creating means extracts information for which the experience occurrence interval list has already been created in another period, and experiences the time interval of the extracted experience information by the experience occurrence interval newly calculated from the time information. Update the occurrence interval list.

  In addition, the private information storage method according to the present invention requires an information acquisition step for acquiring experience information including time information that is related to an event experienced by the user, and the user is privately required for the acquired experience information. Private information adding process to add private information and experience information to which private information is added in the private information adding process are classified by attribute and stored in the storage means for storing experience information and private information Data storage control process, information acquired repeatedly from the accumulated experience information and private information in a predetermined period, the time interval of the extracted experience information is calculated from the time information, and the experience is associated with the experience information An experience occurrence interval list creating step for creating an occurrence interval list, and a storage step for storing the experience occurrence interval list created in the experience occurrence interval list creating step in the experience interval storage means, and the experience occurrence interval list In the creation process, experience information having the same keyword is extracted from the experience information stored in the storage means for a predetermined period, the time interval of the extracted experience information is calculated from the time information, and the experience generation associated with the experience information An interval list is created and stored in the experience interval storage means.

  In addition, the private information management method according to the present invention further includes the above-described private information storage method, the information repeatedly acquired from the accumulated experience information and private information, or the information repeatedly input as a search condition for a predetermined period. The experience occurrence interval list creating step for creating the experience occurrence interval list associated with the experience information by calculating the time interval of the extracted experience information from the time information and the experience occurrence interval list creating means A storage step of storing the experience occurrence interval list in the experience interval storage means, a search input step in which search conditions are input by the user, and information stored in the storage means based on the search conditions input in the search input step Information that is stored in the experience occurrence interval list is preferentially presented in the experience interval storage means.

  According to the private information storage device and the private information storage method according to the present invention, it is possible to record the user's experience so as to recall the experience at that time. Moreover, it can memorize | store so that the information regarding the action performed repeatedly among user's action may be searched preferentially based on an experience generation | occurrence | production interval.

  Moreover, according to the private information management apparatus and private information management method of the present invention, it is possible to recall an experience at that time for an event that the user has experienced. In addition, since information related to repeated actions among user actions can be stored and preferentially presented based on the experience occurrence interval, the response is better than the keyword search method in the network, and the desired information is extracted from the extracted information. The information selection process is also efficient, and information that is highly beneficial to individuals can be extracted.

  In the present invention, when a user searches for information repeatedly when accessing information related to a certain place, a certain category, a certain condition, etc., the access interval to these information is calculated and the user is given priority according to the access interval. I was able to present it. In this specific example, a method for organizing information to be presented to the user based on the access interval, particularly for a user who has accumulated information obtained by the user's experience as information to be searched and information required for the user. It is proposed to apply to a mechanism selected from directly related information.

  In the present invention, information such as the date and place where the user “experienced” and the video and audio at that time are stored as information related to the event experienced by the user, and input by the user for the experienced event. Additional information is treated as private information. For example, when a user purchases a certain product, the purchase date and time, the location information of the purchased store, and the like are information on events that have been experienced. Evaluation of the location of the store is good, evaluation of customer service at this time, evaluation of the purchased product Also, the user's personal information is the so-called user's comments and lessons learned through experience, such as the reasons for these evaluations, and the input information such as “memo writing” and “memorandum”. In this specific example, along with information on the events experienced by the user, impressions about the experience, successes, and failure cases are added and accumulated so that they can be used later.

  In this specific example, information that the user needs privately is referred to as private information. The user's private information refers to marks given to make it easy to understand what information you want to use again among the acquired information, evaluation values for the acquired information, etc., related to information related to events experienced by the user You can enter.

  Generally, a tendency appears for each individual in the user's action. For example, there are actions that are performed at certain intervals by the user, such as where there are places to go frequently at work, and there are stations that stop by for learning. In addition, a tendency appears to some extent in the field of information (information to be searched) required according to the user's work, hobbies and the like.

  Therefore, in this specific example, in addition to the information accumulation process based on the user's experience as described above, priority is given to information that is repeatedly acquired along with repeated actions, information related to a specific field to be repeatedly searched, and the like. I was able to present it. When using information stored in the private information management device shown in this specific example, if the user inputs search conditions as usual, if there is experience similar to the past, it is related to that experience Information can be extracted. For example, if you have visited the same place before, you can present information such as the date and time, the product purchased at that time, and private information such as the evaluation at that time, as well as information that was repeatedly listed In addition, it is possible to preferentially present associations that are repeatedly acquired with the user's experience.

  An outline of a private information management apparatus 1 shown as a specific example of the present invention is shown in FIG. The private information management apparatus 1 includes an information registration unit 10 for an information registration phase related to information input, a means for accumulating such information, and an information output for an information use phase for later using the acquired information. And an associated information utilization unit 30.

  The private information management device 1 includes, as the information registration unit 10, an information acquisition unit 11 for acquiring information related to the experienced event, a private information addition unit 12 to which private information is added, and the acquired information. A data recognition processing unit 13 for recognizing the data, a data definition processing unit 14 for classifying the recognized data according to a predetermined definition, and a data storage unit 15 for storing data classified according to the definition.

  The information acquisition unit 11 includes means for acquiring information around the user, such as a camera, a microphone, and a GPS, and includes means capable of acquiring image information, audio information, position information, date and time, and the like. The data recognition processing unit 13 performs processing for extracting specific information from image information, audio information, position information, date and time, etc. acquired by a camera, a microphone, GPS, or the like. The data recognition processing unit 13 includes an image recognition unit 16, a text processing unit 17, and an audio processing unit 18. Image data acquired from the camera is subjected to image recognition processing and image processing by the image recognition unit 16 and the text processing unit 17. Text recognition processing is performed to extract specific image data and text data. If it is voice data acquired from a microphone, the voice recognition unit 19 recognizes the voice, the language processing unit 20 converts the voice information into text data, and the keyword extraction unit 21 extracts a keyword from the converted text data. To do.

  The data extracted by the data recognition processing unit 13 is classified by the data definition processing unit 14 according to a predetermined definition. For example, the definition includes a person image, family, brother, spouse, work relations, friend, age group, residence area, nationality, and other identification information related to this person image, and the degree of congestion determined from image data (high / low) The type of building (type of service industry by signboard, etc.), the name of the building (character string), date and time, weather (sunny, rainy, cloudy, etc.), temperature (high / low), humidity (high)・ Low), wind (strong / weak), location information (latitude, longitude, altitude), nearest station, common name that can be understood only by users, evaluation value, evaluation items (location conditions, evaluation of shop assistants, product evaluation) , Store atmosphere, price setting, cooking time, other conditions, etc.), and the acquired data is classified based on these definitions. The data storage unit 15 stores data classified based on the above definition.

  In addition, the information registration unit 10 extracts information having the same keyword from the information stored in the data storage unit 15, calculates a time interval of the extracted information, and creates an interval list; And a list storage unit 23 in which an interval list (hereinafter referred to as an interval list) created by the analysis unit 22 is stored.

  Then, the case where the user's private information registered in the above-mentioned information registration part 10 is utilized is demonstrated.

  The private information management device 1 includes an information acquisition unit 31 that acquires a current state, a search input unit 32 that receives a search condition, and a data recognition processing unit 33 that recognizes the acquired information. The data storage unit 15 includes a search unit 34 that extracts information conforming to the search condition or similar information, and an information presentation unit 35 that presents the extracted information to the user.

  The information acquisition unit 31 and the data recognition processing unit 33 acquire and recognize the current location information and other information by the same method as in the information registration phase. Search conditions are input to the search input unit 32 by the user. Examples of input methods include voice input, text input, and image input. If it is input as speech by the search input unit 32, the data recognition processing unit 33 extracts keywords related to time, place, and person from the speech, and if text data is input to the search input unit 32, the data recognition processing unit 33 extracts a keyword from the text, and if image data is input to the search input unit 32, the data recognition processing unit 33 extracts the keyword from the image. Data recorded in the schedule management software can also be used.

  The search unit 34 includes a presentation data reasoning unit 37 that extracts information similar to the search condition from the data storage unit 15, and a presentation data search unit 38 that extracts information that matches the search condition from the data storage unit 15. . When retrieving information from the data storage unit 15, the priority of information to be presented is determined by referring to the interval list stored in the list storage unit 23. Information extracted by the search unit 34 is presented to the user by the information presentation unit 35 by text data, voice guidance, image display, or a combination thereof.

  According to this private information management apparatus 1, it is possible to accumulate events that have been experienced by the user together with information that recalls the experience. In addition, the information obtained by searching the data storage unit 15 of this apparatus is information that the user has experienced, compared to a technique for searching for keywords in a network such as the Internet. Can be taken out.

  A feature of the present invention is that the registered person uses the information managed by the private information management apparatus 1. Therefore, information obtained by the user (experience) and private information such as impressions, evaluations, and lessons about the experienced event need not be generalized and need only be recorded in a format that only the user can understand. . In addition, it is preferable that acquisition of information related to an experienced event is automatically acquired as much as possible by a camera, a microphone, a GPS, or the like as in the above-described example. The private information management device 1 according to the present invention is required in practice because it is difficult to leave memos and memos consciously for the events experienced by the user. It is because there is a fact that the previous experience cannot be utilized even if it becomes the same situation again to miss the opportunity to record.

  Hereinafter, a private information management apparatus 1 shown as a specific example of the present invention will be described in detail with reference to FIGS. FIG. 2 is a diagram showing the information registration phase and the information use phase performed using the private information management device 1 separately, and FIG. 3 shows a specific example of the private information management device 1. is there. In this specific example, a case where the user eats at a restaurant (store) will be described. Therefore, the information registration phase is a scene where surrounding information when eating at a restaurant and private information at this time are registered, and the information use phase is a scene where information based on past experience is searched for at another opportunity. It is.

  Since it is important that the user always has the private information management device 1 when experiencing a certain event, in this specific example, the private information management device 1 is of a portable type. Moreover, even if the private information management device itself is portable, for example, it can be connected to a device equivalent to a home stationary PC 100 or server device, and the acquired information is stored in the stationary PC 100 or server device. It may be configured to accumulate. In this case, the data storage unit 15 of the private information management device 1 is provided independently on the stationary PC 100 or the server device side, and information is transmitted to or from the main unit of the private information management device via a wireless or wired communication interface. Send and receive.

  As shown in FIG. 3, the private information management device 1 includes a GPS 41 that acquires position information, a CCD (Charge Coupled Device) 42 that acquires information around the user, and a microphone 43. The information acquisition unit 11 for the information registration phase and the information acquisition unit 31 for the information use phase shown in FIG. The private information management apparatus 1 automatically acquires image data and audio data without any user operation. The CCD 42 and the microphone 43 are based on a data model triggered by a change in the environment around the user or a predetermined interval. The storage format data is generated and stored, and the data is stored. For example, when a sudden loud sound is detected, or when a keyword specified by the keyword extraction unit 51 (described later) is detected, the trigger for database creation is used. In the description of this specific example, the information around the user related to the user experience acquired by the information acquisition unit 11 is hereinafter referred to as experience information as necessary.

  Also, the private information management device 1 includes an evaluation input key 44 as a private information adding unit 12 for a user to add private information, and an operation input for performing search input in the information use phase and operation input of this device. Part 45. As the evaluation input key 44, a simple push button for inputting a point corresponding to the number of times of pressing as an evaluation value or an operation input key such as a numeric keypad for directly inputting the evaluation value can be applied. In this specific example, evaluations of best, good, normal, bad, and worst are given according to the number of push buttons. The evaluation input from the evaluation input key 44 does not necessarily have to be made at the same time as the user's experience. You can also enter information later on for the information you have acquired about the events you have experienced.

  The private information management device 1 may include a configuration for acquiring weather information such as temperature, humidity, and weather in addition to the configuration described above as a configuration corresponding to the information acquisition unit 11. As a method for acquiring the position information and the weather information, for example, in addition to the base station information periodically transmitted from the base station, which is already realized by a mobile phone, the position information and the weather information are periodically transmitted. There is a method of distribution. The private information management apparatus 1 may be provided with a simple temperature sensor and humidity sensor.

  The private information management apparatus 1 includes an image recognition unit 46, a text recognition unit 47, and a voice recognition unit 48 that recognize the acquired image data, text data, and voice data. The image recognition unit 46 performs image recognition processing on the image data acquired from the CCD 42, for example, performs processing for recognizing and extracting a human face portion. In addition, the text recognition unit 47 performs text recognition processing on the image data acquired from the CCD 42, and recognizes a character string or a symbol in the image like a character such as a signboard to recognize a building or a sign. A process of extracting the name as text data is performed. The voice recognition unit 48 includes a voice recognition processing unit 49, a language processing unit 50, and a keyword extraction unit 51. The voice recognition processing unit 40 performs voice recognition processing on the voice data acquired from the microphone 43, and the language processing unit 50. The voice information is converted into text data at, and the keyword extraction unit 51 extracts keywords from the converted text data.

  In addition, the private information management device 1 includes a data definition processing unit 52 that defines data extracted from the image recognition unit 46, the text recognition unit 47, and the voice recognition unit 48. The data definition processing unit 52 corresponds to the data definition processing unit 14 for the information registration phase and the search unit 34 for the information use phase. The data definition processing unit 52 classifies the extracted data according to a predetermined definition or sets it as a search condition. In response, information is retrieved from the database 53.

  For example, in the private information management apparatus 1, image data and text data describing information on the image data are registered in the database 53. For example, a friend's name, address, contact information, age, and the like are stored in association with image data of a person's face. In addition, if there is information on the family, brothers, spouses, persons involved in the workplace, friends, etc. related to this person, they are stored together. A person, type of building, name of building (character string), and the like determined from the image data, text data, and voice data extracted by the image recognition unit 46, the text recognition unit 47, and the voice recognition unit 48 are stored in the database 53. Compared with the stored data, it is classified and accumulated as new data. The definition includes the position information (latitude, longitude, altitude), date / time data, weather information (sunny, rainy, cloudy, etc.), temperature (high / low), humidity (high / low), wind (strong / high). Weak), nearest station, popular name that can be understood only by the user, evaluation value, evaluation target (location conditions, evaluation of store clerk, evaluation of products, store atmosphere, pricing, serving time, other conditions, etc.) The acquired information is classified based on these definitions.

  After acquisition, the defined data is model-converted according to the data model and stored in the database 53 using a database management system (DBMS). Examples of model conversion include, for example, a method of defining each data in a tabular format and managing it using a relational database (RDB) as a DBMS, or classifying each data using RDFs / OWL and using RDFDB or XMLDB as the DBMS There is a method to manage. Information about events experienced by the user and private information stored in the database 53 can be edited later by the user.

  In addition, the private information management apparatus 1 includes an LCD 54 as a display unit, a display device 55, a speaker 56, and an audio output device 57 as a configuration for presenting information to the user.

  Moreover, the private information management apparatus 1 shown in this specific example includes a data analysis unit 59, and the data analysis unit 59 stores the experience information repeatedly acquired and the information including the keyword selected as the search target repeatedly. An interval list is created by extracting intervals. The data analysis unit 59 extracts the experience information repeatedly acquired from the experience information registered in the database 53 and the information selected as the repetitive search target in accordance with the “occurrence of experience” by the user. Calculate the time interval. A list of intervals from which this information was acquired or selected is created. The interval list created by the data analysis unit 59 is stored in the interval list storage unit 60.

  An example of the interval list created by the data analysis unit 59 will be described with reference to FIG. Further, FIG. 5 shows the experience information repeatedly acquired and the interval (interval) of the keyword selected as the target for repeated search. The black triangle mark in FIG. 5 indicates the timing at which information including the location XX or the category YY is selected as an acquisition or search target. In the interval list, for example, in correspondence with the above-mentioned definition of place, category, person, etc., the experience information acquired repeatedly or the interval (interval) selected as the object of repeated search, the last update time, first registered or The search time, the number of updates (number of checks), and the like are described. In the list of FIG. 4, the first registered time (first occurrence time), latest update time (recent occurrence time), interval: n1, interval: n2, and update count for the keywords XX and category YY. : K is described. For example, as shown in FIG. 5, the interval list 70 stores information accumulated in the database 53 for the past month for keywords classified into place XX and category YY. This is an interval list created by extracting information including a place XX and a category YY searched or acquired within a predetermined period of time or 3 months. In FIG. 4, there are two intervals when several patterns can be detected in the above-mentioned predetermined period.

  By creating an interval list for each characteristic information among the information registered in the database 53, it is possible to know the bias and frequency of user experience information and private information. Details regarding the process of creating the interval list will be described later.

  Each configuration described above is centrally controlled by the control unit 58 including a CPU, a ROM storing processing programs, and a RAM as a work area of the CPU.

  Then, the case where a user registers the information (experience information) relevant to the experienced event and private information using the private information management apparatus 1 mentioned above is demonstrated. FIG. 6 shows an information registration process when the user eats at a restaurant (store), and FIG. 7 shows an information use process for using the registered information later.

  First, a case where the user acquires experience information and private information will be described. When the user carries the private information management device 1 described above and eats at the restaurant 200 (experience event: arrow A in FIG. 2), information related to the experienced event is acquired by the private information management device 1. (Arrow B in FIG. 2). Here, the acquired information includes experience information and private information. The experience information is automatically acquired mainly by the private information management device 1 at this time. Private information is entered by the user (arrow C in FIG. 2). However, private information may not be entered at the same time as obtaining information about the experienced event.

  The timing at which the experience information is acquired may be set to a mode in which the user automatically acquires information at a predetermined interval before entering the restaurant 200, but normally the user cannot consciously perform this mode setting operation itself. There are many cases. In the present invention, it is desirable that the information related to the experienced event is acquired so as not to be conscious of the user. Therefore, it is possible to automatically acquire the experience information by using a surrounding situation change as a trigger as much as possible. For example, if the word “welcome” is defined in advance as a keyword for triggering, when the user enters the restaurant 200 and the private information management apparatus 1 detects the word “welcome”, this is used as a trigger. The data creation mode is entered (step S1 and step S2 shown in FIG. 6).

  An example of the experience information acquired at this time is shown in FIG. In the following figure, for the sake of convenience, it is assumed that data is entered only for the part related to the explanation, but other data is also included in the blank part. In FIG. 8, if the acquired time information is associated with the acquired information number and is 17:30 on July 22, 2003, it is represented as “200307221730”, and the position information is “ 605958, 1354536, 546 ″ (latitude 60 ° 59′58 ″, longitude 135 ° 45′36 ″, altitude 546 m). In addition, for example, information on incidental conditions such as weather information transmitted from the base station is added. Furthermore, if there is a fact that has been clarified from information acquired before the acquisition of this experience information, that information is also added. In this specific example, it is information about a companion. The time information acquired here may be accurate time information included in the GPS data. For example, “2003/07/22 night”, simply “day”, “night”, “holiday”, “weekday” An abstract expression is also included. Similarly, the position information may be represented by a station name, a building name, a facility name, a common name familiar to the user, or the like instead of the latitude and longitude. This is because when the user searches in the information use phase, it is extracted as information that is easier to understand and use.

  An example of private information input by the user is shown in FIG. Private information is registered in association with the acquired experience information, such as overall evaluation, location conditions, store clerk evaluation, product evaluation, store atmosphere, pricing, serving time, and other conditions. There are more detailed evaluations. Each evaluation may be recorded by the number of points actually input by the above-described push button type input key.

  The timing at which the user inputs private information (arrow C in FIG. 2) may be any time as described above, and can be added later to the acquired information. In this specific example, when the user finishes the experience at the restaurant 200, that is, when the user moves from the restaurant to another place, the user makes a sound or vibrates to prompt the user to input. In addition to this, for example, a mode in which experience information acquisition operation and private information input operation can be led by a user may be prepared.

  If a trigger is detected when the private information management device 1 starts and waits for CCD, GPS, etc. in step S1, in step S2, the private information management device 1 moves to a data creation mode and acquires experience information. The experience information acquired in step S2 is recognized and processed after step S3. If it is image data, image recognition processing is executed on the image data acquired from the CCD 42 in step S3. At this time, if it is image data and character information is included in the image, the text recognition unit 47 executes text recognition processing on the image data acquired from the CCD 42 in step S4. It recognizes character strings and symbols in images like characters and extracts the names of buildings and signs as text data. In the case of voice data, in step S5, the acquired voice data is subjected to voice recognition processing in the voice recognition processing unit 40. In step S6, the voice information is converted into text data in the language processing unit 50. The extraction unit 51 extracts keywords from the text data. Since the position information acquired by the GPS 41, GPS data such as date and time data, and text data input from the operation unit 35 can be used as they are, the process proceeds to the next step.

  The private information management apparatus 1 accepts input of private information from the user in step S8. At the same time, the user inputs information that could not be acquired as experience information, such as the store name and location. However, private information may not be input at this stage. A mode is also prepared in which the user inputs only private information. Data obtained from the acquired information is classified based on the definition in step S9 and registered in the database 53 in step S10.

  According to the above processing, user experience information and private information are organized and registered in the database 53 so that they can be easily searched. In this registration phase, it is determined whether the user's experience information and private information is repeatedly acquired information or information selected as a repeated search target, and an interval list is created.

  The interval list creation process (update process) will be described below. The following cases can be cited as situations in which the creation process or update process of the interval list is performed. For example, (1) When an interval list is searched and newly created in the information registration phase, (2) When an interval list creation mode is started up periodically, (3) Items in the interval list are checked and updated ( (Or deletion). Here, a case where an interval list is created for “location” and information defined as “category” among the information stored in the database 52 will be described. For example, if the place is a restaurant, the category is Chinese or Italian.

(1) When an interval list is searched and newly created in the information registration phase FIG. 10 shows a process for searching and creating a new interval list in the information registration phase. When new experience information and private information are registered as new information in the information registration phase, the data analysis unit 59 searches the interval list in step S21. In step S22, it is determined whether or not there is an interval list including the acquired experience information and private information. If there is a list, the process is terminated. If there is no list, in step S23, the time when this information was acquired is registered for the first time (first occurrence time) and the latest update time (most recent occurrence time). ), And an interval list is created, and the created interval list is stored in the interval list storage unit 60 in step S24. This process is started after step S9 of the information registration process shown in FIG. 6, and is executed in parallel with step S10. It may be performed after the information registration process of FIG. The method described here is a case where an interval list is always prepared once for all newly acquired information, and when a keyword related to the acquired information does not occur repeatedly, a method described later is used. By adopting, the interval list can be updated and deleted.

(2) In the case of starting up the interval list creation mode independently of the information registration phase FIG. 11 shows processing for starting up the interval list creation mode independently of the information registration phase and checking the interval list. In step S31, the data analysis unit 59 sorts the data registered in the database 53 on condition of location and category. In step S32, when the data satisfying this condition is divided by a predetermined period of the past one month or three months, it is determined whether or not the data has been generated more than a predetermined number of times by being searched or acquired within that period. To do. If the occurrence has occurred a predetermined number of times or more, an occurrence interval (interval) is calculated in step S33, and an interval list is created and stored in the interval list storage unit 60 in step S34. This process is executed periodically.

(3) When checking (or deleting) an item in the interval list The interval list created by the process (1) or (2) needs to be updated as appropriate. As an update condition, for example, when the interval n1 or n2 or more has elapsed from the latest update time (recent occurrence time) described in the interval list, when the interval of the generated information is different from the value of the interval list, An example is when the number of updates exceeds a predetermined number (that is, when information is out of date). Next, FIG. 12 shows a process for updating the interval list. In step S41, the data analysis unit 59 determines whether the acquired user experience information and private information are information that has been repeatedly acquired, or information that has been selected as a target for repeated search in the case of a search condition. To do. If the interval list has already been created, in step S42, it is not a process of searching for the interval list in the information registration phase and creating a new one, and the interval n1 or the latest update time (recent occurrence time) It is determined whether or not the condition that n2 or more has elapsed and the number of updates is a predetermined number or more is satisfied. If this condition is met, the interval list is deleted in step S43. On the other hand, if not, in step S44, the number of updates and the update time in the current update process are recorded. Next, in step S45, whether or not the condition that the interval between the recorded update time and the latest update time (recent generation time) is different in step S44 and the number of updates is equal to or greater than a predetermined number is satisfied. Determined. If this condition is met, the interval n1 in the interval list is updated in step S46. If this is not the case, the current interval is set in the interbell n2 of the interval list. In the case of new registration in step S41, an interval list creation process as in (1) is performed. Further, this process may be started after step S9 of the information registration process shown in FIG. 6, and may be executed in parallel with step S10, or may be performed after the information registration process of FIG. . Further, it may be periodically executed independently of the information registration phase.

  Then, the case where the user's private information registered in the information registration part 10 mentioned above is utilized is demonstrated. Here, a case where the user searches for information about a restaurant will be described. The private information management device 1 preferentially provides the current information input or the information for which the interval list has been created with respect to the search key input at the time of information search.

  The private information management device 1 receives information search conditions (arrow D in FIG. 2). The search conditions are input by automatically selecting a keyword included in the information based on the current situation of the user acquired by the private information management apparatus itself as a search key, and in addition to this, it is directly input by the user. Sometimes a condition is used. Examples of the input method by the user include a method of manually inputting each item based on a GUI for inputting a search condition, a method of inputting voice according to guidance, or a method of simply generating a keyword. Below, it shows about the case where a search condition is input from a user with an audio | voice.

  In step S11 of FIG. 7, the private information management device 1 acquires the current location information and other information by the same method as in the information registration phase. In step S12, it is determined whether a search condition has been input. When a search condition is input from the user, keywords are extracted according to the input method. When the user inputs the search condition by voice, for example, when the user speaks “restaurant with good atmosphere” toward the private information management apparatus 1, the voice recognition unit 48 executes voice recognition processing, The keywords “good” and “restaurant” are extracted.

  The current location information and other information acquired at this time are hereinafter referred to as current information. The current information acquired in step S11 and the search conditions when acquired in step S12 are shown in FIGS. In association with the acquired information number, the time information is represented as “2003083210” if it is 12:10 on August 31, 2003, and the position information is “585920, 1354240,520” ( Latitude 58 ° 59′20 ″, longitude 135 ° 42′40 ″, altitude 520 m). In addition, for example, information on incidental conditions such as weather information transmitted from the base station is acquired. As shown in FIG. 14, the search condition acquired by the private information management device 1 is that the atmosphere is “good” and the place name is “restaurant”. Therefore, for the data used as the search condition, the data group shown in FIG.

  The experience information acquired in step S12 is recognized and processed in the processes after step S13. If it is image data, image recognition processing is executed on the image data acquired from the CCD 42 in step S13. At this time, if it is image data and character information is included in the image, in step S14, the text recognition unit 47 executes text recognition processing on the image data acquired from the CCD 42, for example, a signboard or the like. It recognizes character strings and symbols in images like characters and extracts the names of buildings and signs as text data. In the case of voice data, the acquired voice data is subjected to voice recognition processing in the voice recognition processing unit 40 in step S15, the voice information is converted into text data in the language processing unit 50 in step S16, and the keyword in step S17. The extraction unit 51 extracts keywords from the text data. In the case of text data, GPS data, etc., the process proceeds to the next step as it is. If no search condition is input from the user in step S12, the process also proceeds to step S18.

  In step S18, information including the search condition, information similar to the search condition, and the like are extracted from the database 53 based on the current information extracted in steps S12 to S17 and the search condition input by the user. The private information management device 1 shown in this specific example refers to the interval list when extracting information based on the extracted current information and the search condition input by the user. At this time, when there is an interval list including the current information acquired in the interval list storage unit 60 or a search key input as a search condition, the information registered in the interval list is preferentially presented. In preparation for preferential presentation, the private information management device 1 arranges information registered in the interval list in an access area in the database 53. The access area is a storage area in which information that is relatively frequently used can be immediately extracted. For example, as shown in FIG. 2, when the information acquired by the private information management apparatus 1 is configured to store main data in the stationary PC 100, the information listed in the interval list is used as the private information management apparatus. Returning to the internal storage unit and making it always viewable.

  In order to extract information searched by the user from the database 53, the database management system used in the information registration unit 10 is used. For example, memory-based reasoning (MBR), distance between two points (Euclidean distance), or the like is used. As a search method, priority is given to the evaluation value for the experience entered by the user when a case is found in which all items of information stored in the database are complete. Extract from the highest. It is also possible to search for other experience information having an evaluation value specified by the search condition input by the user.

  Information extracted by the data definition processing unit 52 as the search unit 34 is presented to the user in step S19 by text data, voice guidance, image display, or a combination thereof (arrow E in FIG. 2).

  The search result is searched based on this keyword if a search condition is input from the user in step S11, and is searched using a condition similar to the current information if not input. For example, if the current location is a restaurant and the user has visited here in the past, the evaluation result at that time is represented. If the user has not visited, the restaurant information of nearby restaurants that have been visited in the past is presented. Even if no search condition is input, if the current time is a meal time zone, restaurant information near the place where the user is located is presented.

  An example of data displayed as a search result is shown in FIG. A search result 001, a result 002, a result 003, and a result 004 are displayed for the input current information and search conditions. These past data are all information obtained by the user. As for the display order here, the content of the search condition by the user is prioritized. For example, if the user inputs “near”, the information “high” from the current position is displayed with priority over highly evaluated information.

  Moreover, the private information management apparatus 1 can also present in advance according to the calculated interval the information for which the interval list has been created. For example, for a user who tends to search for information regarding a place at a certain interval, this interval list can be prioritized and optimal information can be extracted from the database 53 in advance.

  As described above, according to the private information management apparatus 1 shown as a specific example of the present invention, the events that the user has experienced can be stored together with information that recalls the experience. Compared to the keyword search method using a network such as the Internet, the information obtained by searching the part is information that the user has experienced once and presents the information to be used repeatedly. The information is high. In addition, in order to remind the user of the experience that has been experienced, the user feels more realistic than the generalized information obtained by searching on the network. Furthermore, it leads to the recall about the phenomenon which the user has forgotten.

  In the present invention, information related to an event experienced by a user is acquired and stored, and information may be presented from storage means that can be searched by a keyword later, and the storage means exists on the network. It is also possible to use such a device. In this case, information based on the experience of each user may be used only by the person himself / herself, but information based on the experience of each user can also be shared.

  In addition, as an application example of the present invention, regarding information for which an interval is set, even if information is acquired from the Internet by using data arrangement so that it can be preferentially searched during information search, For example, the time required for information search can be greatly saved by automatically downloading using the timing of the charging state or standby state not used by the user.

It is a conceptual diagram explaining the private information management apparatus shown as the best form of this invention. It is a figure explaining the private information management using the private information management apparatus shown as a specific example of this invention. It is a block diagram explaining the said private information management apparatus. It is a conceptual diagram explaining the example of the interval list | wrist produced with the said private information management apparatus. It is a figure explaining the space | interval (interval) of the experience information acquired repeatedly and the keyword selected as a repetition search object. It is a flowchart explaining the information registration process in an information registration phase in the said private information management apparatus. It is a flowchart explaining the information extraction process in an information utilization phase in the said private information management apparatus. It is a figure explaining an example of the experience information acquired in the said private information management apparatus. It is a figure explaining an example of the private information input by the user in the said private information management apparatus. It is a flowchart explaining the process which searches an interval list | wrist and creates newly in an information registration phase. It is a flowchart explaining the process which starts the creation mode of an interval list independently of an information registration phase, and checks an interval list. It is a flowchart explaining the process which updates an interval list. It is a figure explaining the example of the present information acquired in the information utilization phase in the said private information management apparatus. It is a figure explaining the example of the search conditions input in the information utilization phase in the said private information management apparatus. It is a figure explaining the example of the data used as a search condition with the said private information management apparatus. It is a figure explaining the example of the data displayed as a search result by the said private information management apparatus.

Explanation of symbols

1 private information management device, 10 information registration unit, 11 information acquisition unit,
12 private information adding part, 13 data recognition processing part,
14 data definition processing unit, 15 data storage unit, 16 image recognition unit,
17 text processing unit, 18 speech processing unit, 19 speech recognition unit,
20 language processing units, 21 keyword extraction units, 22 data analysis units,
23 list storage unit, 30 information utilization unit, 31 information acquisition unit,
32 search input unit, 33 data recognition processing unit, 34 search unit,
35 information presentation unit, 41 GPS, 42 CCD, 43 microphone,
44 evaluation input keys, 45 operation input section, 46 image recognition section,
47 sentence recognition unit, 48 speech recognition unit, 49 speech recognition processing unit,
50 language processing units, 51 keyword extraction units, 52 data definition processing units,
53 database, 54 LCD, 55 display device,
56 speakers, 57 audio output devices, 58 control units,
59 Data analysis unit, 60 Interval list storage unit

Claims (8)

Information acquisition means for acquiring experience information related to an event experienced by a user and including time information;
Private information adding means for adding private information privately required by the user to the acquired experience information,
Storage means for storing the above experience information and private information;
Data storage control means for classifying the experience information to which the private information is added by the private information adding means for each attribute and storing it in the storage means;
The information acquired repeatedly from the accumulated experience information and private information is extracted in a predetermined period, the time interval of the extracted experience information is calculated from the time information, and an experience occurrence interval list associated with the experience information is created Means for creating an experience occurrence interval list,
A private information storage device comprising: an experience interval storage means for storing the experience occurrence interval list created by the experience occurrence interval list creating means.   Only when information that is repeatedly acquired from the accumulated experience information and private information is extracted in a predetermined period and the time interval of the extracted experience information is calculated from the time information, and repetition occurs periodically 2. The private information storage device according to claim 1, wherein an experience occurrence interval list is created.   The experience occurrence interval list creating means extracts information for which an experience occurrence interval list has already been created in another period, and calculates the time interval of the extracted experience information based on the experience occurrence interval newly calculated from the time information. 2. The private information storage device according to claim 1, wherein the experience occurrence interval list is updated. An information acquisition process for acquiring experience information related to the event experienced by the user and including time information;
A private information addition process for adding private information privately required by the user to the acquired experience information;
A data accumulation control step for storing the experience information to which the private information is added in the private information addition step for each attribute and accumulating the experience information and the private information in a storage means;
The information acquired repeatedly from the accumulated experience information and private information is extracted in a predetermined period, the time interval of the extracted experience information is calculated from the time information, and an experience occurrence interval list associated with the experience information is created Creating an experience occurrence interval list,
A storage step of storing the experience occurrence interval list created in the experience occurrence interval list creation step in the experience interval storage means. Information acquisition means for acquiring experience information related to an event experienced by a user and including time information;
Private information adding means for adding private information privately required by the user to the acquired experience information,
Storage means for storing the above experience information and private information;
Data storage control means for classifying the experience information to which the private information is added by the private information adding means for each attribute and storing it in the storage means;
Information obtained repeatedly from the accumulated experience information and private information or information repeatedly input as a search condition is extracted in a predetermined period, and a time interval of the extracted experience information is calculated from the time information. An experience occurrence interval list creating means for creating an experience occurrence interval list associated with
Experience interval storage means for storing the experience occurrence interval list created by the experience occurrence interval list creating means;
Search input means for entering search conditions by the user;
Information presenting means for presenting information to the user;
Based on the search condition input by the search input means, search for suitable information from the information stored in the storage means, and preferentially use the information in which the experience occurrence interval list is stored in the experience interval storage means. A private information management apparatus comprising: information retrieval / presentation control means for presenting to the presenting means.   The experience occurrence interval list creating means extracts information repeatedly acquired from the accumulated experience information and private information or information repeatedly input as a search condition in a predetermined period, and the time interval of the extracted experience information 6. The private information management apparatus according to claim 5, wherein the experience occurrence interval list is created only when repetition occurs periodically from the time information.   The experience occurrence interval list creating means extracts the experience information having the same keyword for which the experience occurrence interval list has already been created in another period, and newly calculates the time interval of the extracted experience information from the time information. 7. The private information management apparatus according to claim 6, wherein the experience occurrence interval list is updated with the experience occurrence interval. An information acquisition process for acquiring experience information related to the event experienced by the user and including time information;
A private information addition process for adding private information privately required by the user to the acquired experience information;
A data accumulation control step for storing the experience information to which the private information is added in the private information addition step for each attribute and accumulating the experience information and the private information in a storage means;
Information obtained repeatedly from the accumulated experience information and private information or information repeatedly input as a search condition is extracted in a predetermined period, and a time interval of the extracted experience information is calculated from the time information. An experience occurrence interval list creation process for creating an experience occurrence interval list associated with
A storage step of storing the experience occurrence interval list created by the experience occurrence interval list creation means in the experience interval storage means;
A search input process in which search conditions are input by the user;
Based on the search condition input in the search input step, search for suitable information from the information stored in the storage means, and preferentially present the information in which the experience occurrence interval list is stored in the experience interval storage means A private information management method comprising: an information search / presentation control step.

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