JP2012146039A - Information service system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information service system for searching for knowledge of a person and serving as information.SOLUTION: Provided are: storage means 1 for storing one information and the other information by making associated with one another by relation information indicating a relation between the one information and the other information; detection means 2 for outputting detected information; conversion means 3 for converting the information output from the detection means 2 into a search key; search means 4 for searching for the one information corresponding to the search key converted by the conversion means 3 from the storage means 1; and output means 5 for outputting the one information searched for by the search means 4 and the other information associated with the one information by reading out from the storage means 1.

Description

  The present invention relates to an information providing system.

  We get a lot of information from daily life, TV, the Internet, conversations with people and so on. To remember it, take notes, save files, write a schedule book. And what is memorized is used as knowledge by searching by a keyword (for example, patent documents 1).

  However, it is difficult to search with keywords such as the above for knowledge ties that are organized only by one's own brain, such as “This photo reminds me of this ...”.

Japanese Patent Application Laid-Open No. 08-077795

  Therefore, an object of the present invention is to realize an information providing system that searches for personal knowledge and provides it as information.

  In order to solve this problem, the present invention adopts the following configuration.

  Storage means for storing one information and other information in association with relationship information representing the relationship between the one information and other information, a detection means for outputting detected information, and an output from the detection means Conversion means for converting the retrieved information into a search key, search means for retrieving the one information corresponding to the search key converted by the conversion means from the storage means, and one information retrieved by the search means, An information providing system comprising: output means for reading out and outputting the other information linked to the one information from the storage means.

  According to the present invention, by automatically inputting a search key based on the output of the detection unit to the search unit, one piece of information corresponding to the search key is searched, and the one piece of information and the one piece of information The other information linked to and the relationship information between them are output. According to this, it is possible to automatically provide knowledge that one information and another information are in a relationship indicated by the relationship information.

It is a block diagram which shows the structure of 1st Embodiment of this invention. It is a block diagram which shows the structure of 2nd Embodiment of this invention. It is a block diagram which shows the structure of 3rd Embodiment of this invention. It is a block diagram which shows the structure of 4th Embodiment of this invention. It is a block diagram which shows the structure of 5th Embodiment of this invention. It is a block diagram which shows the structure of 6th Embodiment of this invention. It is a block diagram which shows the structure of 7th Embodiment of this invention. It is a block diagram which shows the structure of 8th Embodiment of this invention. It is a block diagram which shows the structure of 9th Embodiment of this invention. It is a data structure figure which shows an example of a knowledge link. It is a data structure figure which shows an example of a knowledge link. It is a data structure figure which shows an example of a knowledge link.

[First Embodiment]
FIG. 1 is a block diagram showing the configuration of the first embodiment of the present invention.

  The storage unit 1 stores one piece of information and other information in association with relational information that represents the relationship between the one piece of information and other information. The detection unit 2 outputs information detected by a sensor or the like. The conversion unit 3 converts the information output from the detection unit 2 into a search key. The search unit 4 searches the storage unit 1 for one piece of information corresponding to the search key converted by the conversion unit 3. The output unit 5 reads out and outputs one piece of information searched by the search unit 4 and other information linked to the one piece of information from the storage unit 1.

  In the present embodiment, the storage unit 1 includes both a main storage device and an auxiliary storage device. One information and other information are various data, and are managed in the file system as files. The data may be of any type, such as text, image, or sound. The data may be a file name. The data may be stored in any area in the file structure. For example, data stored in file properties, memos or logs may be treated as one piece of information or other information. The association (link) between one piece of information and other information indicates a state in which the one piece of information and other information are associated with each other. The related information is associated with each link.

  In the present embodiment, the conversion unit 3, the search unit 4, and the output unit 5 provide various functions when a processor executes a predetermined program.

  FIG. 10 is a schematic diagram of a data structure including a plurality of links between one piece of information and other information. Each of the nodes 1 to 4 corresponds to one piece of information or other information. They are linked by links 1 to 3. The same information may be linked as one information or may be linked as other information. Episodes 1 and 2 indicate information to be linked as one piece of information or other information in the future.

  FIG. 11 is an image diagram of a data structure including many links between one piece of information and other information. Each black circle such as A resort or ANA flight schedule corresponds to one information or other information. The display of current progress, past, fun, belongings, and photographs enclosed in a frame also corresponds to one piece of information or other information. A line connecting them indicates a link between one piece of information and other information.

  FIG. 12 is an example showing one information, other information, and related information thereof. One information “guitar” is linked to other information “guitar TAB score”, and the related information is “practice”. One information “guitar” is linked to other information “early morning jogging”, and the related information is “hobby”. One information “guitar” is linked to other information “after 10 pm”, and the related information is “careful”.

  As described above, a link between one piece of information and another piece of information is stored in the storage unit 1 in the image as shown in FIGS. In the present application, this information link is called a knowledge link. One piece of linked information or other information is not limited to the substance of the information but may be a pointer indicating the location of the information. For example, one piece of information or other information may be one or more URLs (Uniform Resource Locators) indicating the location of a web page. In this case, information in all files indexed by the URL is also one piece of information or Treat as other information.

  In a general search system, for example, even if “guitar” is specified as a search key, “early morning jogging” is not normally hit as a search result. On the other hand, in the present invention, if “guitar” is designated as one piece of information, the guitar TAB score is used for practicing the guitar, the hobby other than the guitar is jogging early in the morning, and the performance of the guitar after 10 pm is taken care of. Search and output personal knowledge.

  Next, the operation of this embodiment will be described.

  When the detection unit 2 detects information serving as a search key, the detection unit 2 outputs the information to the conversion unit 3. The conversion unit 3 to which this information is passed converts the information into a search key using a predetermined algorithm. Then, the search key is input to the search unit 4. The search unit 4 to which the search key is passed searches the storage unit 1 for one piece of information corresponding to the search key. Here, “corresponding” includes complete match, partial match, synonym, synonym, and similar relationship. The output unit 5 reads out and outputs one piece of information searched by the search unit 4 and other information linked to the one piece of information from the storage unit 1. The output search result is output to an output device or a computer network via an output interface and viewed by the user at the output destination.

  The output of the search result may be in a form in which a chart visually showing a link between one information and another information is displayed to the user. Further, the search result may be output by executing a program based on other searched information.

  According to the present embodiment described above, when a search key based on the output of the detection unit 2 is automatically input to the search unit 4, one information corresponding to the search key is searched, The other information associated with the one information and the relationship information between them are output. According to this, it is possible to automatically provide knowledge that one information and another information are in a relationship indicated by the relationship information.

[Second Embodiment]
Next, a second embodiment of the present invention will be described with reference to FIG.

  In the present embodiment, the detection unit 2 detects transmission, reception or storage of an electronic mail by the electronic mail function and outputs text information of the electronic mail. The electronic mail function is realized by the processor executing a program. The e-mail is received via an input interface (not shown). The electronic mail is transmitted through an output interface (not shown). The e-mail is saved using the storage area of the storage unit 1. The text information of the e-mail is text data.

  The conversion unit 3 inputs the morpheme information extracted from the sentence information to the search unit 4 as a search key. The conversion unit 3 decomposes the sentence information acquired from the detection unit 2 into morphemes using a morphological analysis algorithm, and inputs text data of the morphemes such as nouns, verbs, and adjectives to the search unit 4 as search keys.

  Other configurations are the same as those of the first embodiment. According to the present embodiment, knowledge information related to the text content of the electronic mail is automatically output from the output unit 5 when the electronic mail is transmitted / received or stored.

[Third Embodiment]
Next, a third embodiment of the present invention will be described with reference to FIG.

  In the present embodiment, the detection unit 2 is mounted on a microphone for voice input, detects voice input to the microphone, and outputs the input voice information. The audio information is assumed to be an analog signal and encoded at an input interface connected to the conversion unit 3.

  The conversion unit 3 performs a speech recognition process on the encoded speech information, and converts speech into text. Furthermore, the conversion unit 3 decomposes the text into morphemes by a morphological analysis algorithm, and inputs text data of the morphemes such as nouns, verbs, and adjectives to the search unit 4 as search keys.

  Other configurations are the same as those of the first embodiment. According to the present embodiment, when a voice is input, knowledge information related to the semantic content represented by the voice is automatically output from the output unit 5.

  In the present embodiment, the case where sound is input from the microphone has been described. However, the detection unit 2 may detect sound input through a line, or may detect sound data included in a sound file created in advance. You may input into the conversion part 3. FIG.

[Fourth Embodiment]
Next, a fourth embodiment of the present invention will be described with reference to FIG.

  In the present embodiment, the detection unit 2 is mounted on a microphone for voice input, detects voice input to the microphone, and outputs the input voice information. The audio information is assumed to be an analog signal and encoded at an input interface connected to the conversion unit 3.

  The conversion unit 3 analyzes the encoded speech information, extracts the feature amount of the speech, and inputs the feature amount to the search unit 4 as a search key.

  Of the information stored in the storage unit 1, it is assumed that the voice feature amount is extracted in advance and stored in the storage unit 1 in association with the one information. The search unit 4 calculates the similarity between the voice feature quantity as the search key and the voice feature quantity associated with one piece of information, and searches for voice information (one piece of information) at a distance closer than a predetermined threshold.

  Other configurations are the same as those of the first embodiment. According to the present embodiment, when voice (regardless of type) is input, knowledge information related to the voice is automatically output from the output unit 5.

  In the present embodiment, the case where sound is input from the microphone has been described. However, the detection unit 2 may detect sound input through a line, or may detect sound data included in a sound file created in advance. You may input into the conversion part 3. FIG. In addition, the feature amount of the voice information that is one information is extracted and associated in advance, but the search unit 3 may extract the feature amount from the voice information that is the first information every time the search is performed. Good.

[Fifth Embodiment]
Next, a fifth embodiment of the present invention will be described with reference to FIG.

  In the present embodiment, the detection unit 2 is mounted on a camera that captures an image, detects conversion of an image captured by the camera, and outputs image information. For example, a camera is pointed at a black wall surface outdoors, and when white snow falls there, a change in the image is detected, and image information of the snow that has started to fall is output. The detection unit 2 converts the image information into an image file of a predetermined format and outputs it.

  The conversion unit 3 analyzes the image data of the image file, extracts the feature amount of the image, and inputs the feature amount to the search unit 4 as a search key.

  Among image information stored in the storage unit 1, for image information, the feature amount of the image is extracted in advance and stored in the storage unit 1 in association with the one information. The search unit 4 calculates the similarity between the image feature quantity as the search key and the image feature quantity associated with one piece of information, and searches for image information (one piece of information) that is closer than a predetermined threshold.

  Other configurations are the same as those of the first embodiment. According to the present embodiment, when an image change is detected, knowledge information related to the image is automatically output from the output unit 5.

  In the present embodiment, the case where an image is input from the camera has been described. However, the detection unit 2 may detect a change in an image included in a previously created video file and input the image file to the conversion unit 3. Further, the feature amount of the image information that is one information is assumed to be extracted and associated in advance, but the search unit 3 may extract the feature amount from the image information that is one information every time the search is performed. Good.

[Sixth Embodiment]
Next, a sixth embodiment of the present invention will be described with reference to FIG.

  The detection unit 2 is mounted on a sensor such as a temperature sensor and outputs a detection signal detected by the sensor. In this embodiment, the sensor is a temperature sensor, and a detection signal corresponding to the temperature is output. It is assumed that the detection signal is an analog signal and is encoded at an input interface connected to the conversion unit 3.

  A part of the storage area of the storage unit 1 is used as a keyword storage unit, and keywords to be selected in accordance with a detection signal from the detection unit 2 are registered in advance in the keyword storage unit. In the present embodiment, for example, it is assumed that “cold” is registered as a keyword to be selected when the detection signal (temperature information) output from the detection unit 2 is less than 0 degree, and similarly, the keyword of 0 degree or more is registered. Also in this case, it is assumed that different keywords are registered depending on the temperature.

  The conversion unit 3 reads a keyword corresponding to the detected detection signal (temperature information) output from the detection unit 2 from the keyword storage unit, and inputs the read keyword to the search unit 4 as a search key.

  Other configurations are the same as those of the first embodiment. According to the present embodiment, when a situation is detected by the sensor, a search key corresponding to the situation is input to the search unit, and knowledge information related to the situation is automatically output from the output unit 5.

  In the present embodiment, the temperature sensor has been described as an example, but the type of sensor is not limited. In addition, keywords registered in the keyword storage unit and selection conditions thereof can be freely set according to the intention. In this embodiment, the keyword is registered in the keyword storage unit. However, instead of providing the keyword storage unit, the keyword selection condition and the keyword are associated with each other by using one information and another information. As linking, it may be registered in advance in the storage unit 1 as a part of knowledge information. In that case, the conversion unit 3 searches the storage unit 1 for one piece of information corresponding to the detection signal, and acquires other information associated with the searched piece of information as a keyword.

[Seventh Embodiment]
Next, a seventh embodiment of the present invention will be described with reference to FIG.

  The detection unit 2a is mounted on a sensor such as a temperature sensor and outputs a detection signal detected by the sensor. In this embodiment, the sensor is a temperature sensor, and a detection signal corresponding to the temperature is output. It is assumed that the detection signal is an analog signal and is encoded at an input interface connected to the conversion unit 3. Moreover, the detection part 2b is mounted in a camera, and if the change of the image imaged by the camera is detected, it outputs image information representing the image after the change. The image information is an image file of a predetermined format.

  A part of the storage area of the storage unit 1 is used as a keyword storage unit, and this keyword storage unit is selected according to the combination of the detection signal of the detection unit 2a and the feature amount of the image information output by the detection unit 2b. Keywords to be registered are registered in advance. In the present embodiment, for example, the detection signal (temperature information) output from the detection unit 2a is less than 0 degrees, and the feature amount of the image information output from the detection unit 2b is “a white one has fallen. "Snow" is registered as a keyword to be selected in the case of "", and similarly, different keywords are registered for other combinations of temperature and image feature amount. To do.

  The conversion unit 3 acquires a detection signal (temperature information) output from the detection unit 2a and encodes it, extracts feature amounts from the image information acquired from the detection unit 2b, and extracts the temperature information and the image feature amount. The keyword corresponding to the combination is read from the keyword storage unit, and the read keyword is input to the search unit 4 as a search key. In the above example, the detection signal (temperature information) output from the detection unit 2a is less than 0 degrees, and the feature amount of the image information output from the detection unit 2b is “a white thing has fallen”. Is input to the search unit 4 as a search key.

  Other configurations are the same as those of the first embodiment. According to the present embodiment, the keyword registered in advance is selected according to the situation detected by the sensor and the image acquired from the camera, and the selected keyword is input to the search unit as a search key. Knowledge information related to the situation estimated from the sensor output and the camera output is automatically output from the output unit 5.

  In the present embodiment, the temperature sensor has been described as an example, but the type of sensor is not limited. In this embodiment, the case where an image is input from the camera has been described. However, the detection unit 2b may detect a change in an image included in a previously created video file and input the image file to the conversion unit 3. Good.

  In addition, keywords registered in the keyword storage unit and selection conditions thereof can be freely set according to the intention. In this embodiment, the keyword is registered in the keyword storage unit. However, instead of providing the keyword storage unit, the keyword selection condition and the keyword are associated with each other by using one information and another information. As linking, it may be registered in advance in the storage unit 1 as a part of knowledge information. In that case, the conversion unit 3 searches the storage unit 1 for one piece of information corresponding to the detection signal of the sensor and the image feature amount, and acquires other information associated with the searched piece of information as a keyword.

[Eighth Embodiment]
Next, an eighth embodiment of the present invention will be described with reference to FIG.

  The detection unit 2a is mounted on a sensor such as a temperature sensor and outputs a detection signal detected by the sensor. In this embodiment, the sensor is a temperature sensor, and a detection signal corresponding to the temperature is output. It is assumed that the detection signal is an analog signal and is encoded at an input interface connected to the conversion unit 3. Moreover, the detection part 2b is mounted in a camera, and if the change of the image imaged by the camera is detected, it outputs image information representing the image after the change. The image information is an image file of a predetermined format.

  A part of the storage area of the storage unit 1 is used as a keyword storage unit. The keyword storage unit includes a keyword to be selected according to a detection signal from the detection unit 2a and a feature amount of image information output from the detection unit 2b. Keywords to be selected in accordance with are registered in advance. In the present embodiment, for example, “cold” is selected as a keyword to be selected when the detection signal (temperature information) output from the detection unit 2a is less than 0 degrees, but the feature amount of the image information output from the detection unit 2b is It is assumed that “falling” is registered as a keyword to be selected when it represents falling from top to bottom, and similarly, different keywords are registered for other temperatures and other image features. It is assumed that different keywords are registered for the quantities.

  The conversion unit 3 obtains the encoded detection signal (temperature information) output from the detection unit 2a, reads a keyword corresponding to the obtained detection signal from the keyword storage unit, and uses the read keyword as a first search key. Input to the search unit 4. Further, the conversion unit 3 extracts a feature amount from the image information acquired from the detection unit 2b, reads a keyword corresponding to the image feature amount from the keyword storage unit, and uses the read keyword as a second search key to the search unit 4. input. In the above example, when the detection signal (temperature information) output from the detection unit 2a is less than 0 degrees, “cold” is input to the search unit 4 as the first search key and is output from the detection unit 2b. When the feature amount of the image information represents a white color, “fall” is input to the search unit 4 as the second search key.

  The search unit 4 searches the storage unit 1 for one piece of information corresponding to the AND condition of the first search key and the second search key.

  Other configurations are the same as those of the first embodiment. According to the present embodiment, the keywords registered in advance are selected according to the situation detected by the sensor and the image acquired from the camera, and a search is performed using the selected keywords as a plurality of search keys. Knowledge information relating to both the situation detected by the sensor and the situation taken by the camera is automatically output from the output unit 5.

  In the present embodiment, the temperature sensor has been described as an example, but the type of sensor is not limited. In this embodiment, the case where an image is input from the camera has been described. However, the detection unit 2b may detect a change in an image included in a previously created video file and input the image file to the conversion unit 3. Good.

  In addition, keywords registered in the keyword storage unit and selection conditions thereof can be freely set according to the intention. In this embodiment, the keyword is registered in the keyword storage unit. However, instead of providing the keyword storage unit, the keyword selection condition and the keyword are associated with each other by using one information and another information. As linking, it may be registered in advance in the storage unit 1 as a part of knowledge information. In that case, the conversion unit 3 searches the storage unit 1 for one piece of information corresponding to the detection signal of the sensor, and acquires other information associated with the searched piece of information as the first keyword. The conversion unit 3 searches the storage unit 1 for one piece of information corresponding to the image feature amount, and acquires other information associated with the searched piece of information as the second keyword.

[Ninth Embodiment]
Next, a ninth embodiment of the present invention will be described.

  In the present embodiment, the detection unit 2 detects a functionalized pattern described in a program and outputs the functionalized pattern information (function information). It is assumed that the program is stored in the storage unit. The conversion unit 3 inputs the functionalized pattern information acquired from the detection unit 2 to the search unit 4 as a search key. The search unit 4 searches the storage unit 1 for one piece of information having functionalized pattern information having a structure that matches the search key.

  Other configurations are the same as those of the first embodiment. According to this embodiment, when a functionalized pattern is detected in a program, knowledge information related to the functionalized pattern is automatically output.

DESCRIPTION OF SYMBOLS 1 Memory | storage part 2, 2a, 2b Detection part 3 Conversion part 4 Search part 5 Output part

Claims (9)

  Storage means for storing one information and other information in association with relationship information representing the relationship between the one information and other information, a detection means for outputting detected information, and an output from the detection means Conversion means for converting the retrieved information into a search key, search means for retrieving the one information corresponding to the search key converted by the conversion means from the storage means, and one information retrieved by the search means, An information providing system comprising: output means for reading out and outputting the other information linked to the one information from the storage means. The detection means detects transmission, reception or storage of an email and outputs text information of the email,
The information providing system according to claim 1, wherein the conversion unit uses morpheme information extracted from the sentence information as the search key. The detecting means detects voice input and outputs voice information;
The information providing system according to claim 1, wherein the conversion unit converts the voice information into sentence information and further uses morpheme information extracted from the sentence information as the search key. The detecting means detects voice input and outputs voice information;
The converting means extracts a feature amount from the voice information as the search key,
The information providing system according to claim 1, wherein the search unit searches for the one information that is voice information having a feature amount corresponding to the search key. The detection means detects a change in imaging and outputs image information;
The converting means extracts a feature amount from the image information as the search key,
The information providing system according to claim 1, wherein the search unit searches for the one information that is image information having a feature amount corresponding to the search key. The detection means outputs a detection signal from the sensor,
The information providing system according to claim 1, wherein the conversion unit selects the keyword corresponding to the level of the detection signal as the detection signal and uses the detection signal as the search key. The detection means detects a change in imaging and outputs image information, and outputs a detection signal from the sensor,
The information providing system according to claim 1, wherein the conversion unit selects a keyword corresponding to a feature amount extracted from the image information and a level of the detection signal, and uses the selected keyword as the search key. The detection means detects a change in imaging and outputs image information, and outputs a detection signal from the sensor,
The converting means selects a first search key according to the feature amount extracted from the image information, and selects a second search key according to the level of the detection signal,
The information providing system according to claim 1, wherein the search unit searches for the one information corresponding to both the first search key and the second search key. The detection means detects and outputs functionalized pattern information described in the information,
The conversion means uses the functionalized pattern information as a search key,
The information providing system according to claim 1, wherein the search unit searches for the one information having pattern information having a structure that matches the search key.

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