Abstract: In general, according to one embodiment, a named-entity extraction apparatus according to an embodiment includes: an unit extracting, using an extraction dictionary, named entities and relations from extraction document data; a unit designating character strings corresponding to the named entities extracted among character strings in learning document data; a generator generating, by applying a relation extraction rule, a learning document in which relations between named entities belonging to the categories of the relation extraction rule among the named entities designated; and a unit learning the extraction dictionary based on the learning document.

Abstract: Disclosed is a service providing system capable of providing an information processing function effective for a variety of system constructions as a service. The service providing system of the present embodiment realizes an information retrieval function, a knowledge base construction function, and a knowledge presentation function. The information retrieval function retrieves information on an analysis target and information indicating a condition of the analysis target; the knowledge base construction function constructs a knowledge database for acquiring knowledge corresponding to the condition of the analysis target based on the information retrieved by the information retrieval function. The knowledge presentation function presents knowledge corresponding to the condition of the analysis target from the knowledge database.

Abstract: Disclosed is a service providing system capable of providing an information processing function effective for a variety of system constructions as a service. The service providing system of the present embodiment realizes an information retrieval function, a knowledge base construction function, and a knowledge presentation function. The information retrieval function retrieves information on an analysis target and information indicating a condition of the analysis target; the knowledge base construction function constructs a knowledge database for acquiring knowledge corresponding to the condition of the analysis target based on the information retrieved by the information retrieval function. The knowledge presentation function presents knowledge corresponding to the condition of the analysis target from the knowledge database.

Abstract: A communication apparatus includes a business data storage unit which stores business data representative of a conducting history; an attribute imparting unit which generates attribute data representative of a conducting condition of the business in the first company; an attribute data storage unit which stores the attribute data corresponding to the first company; an attribute data disclosing unit which discloses the attribute data to a second company; an improvement proposal input unit which inputs therein information relating to an improvement proposal of the business for the first company; an improvement proposal disclosing unit which discloses the information relating to the improvement proposal to the first company; an improvement proposal acceptance receiver which receives a response of acceptance of the improvement proposal from the first company; and a proposal target disclosing unit which discloses information relating to the first company to the second company.

Abstract: A knowledge information creation assist apparatus allowing knowledge information such as FAQs to be created from user support histories accumulated in the past with a reduced workload. A knowledge information creation assist apparatus performs processing of removing at least one unnecessary utterance sentence not related to questioning from a plurality of user support histories including input questions or processing of extracting at least one utterance sentence related to questioning from the user support histories and grouping processing of classifying the user support histories output as the result of the processing into a plurality of question groups according to a predetermined classification model.

Abstract: A knowledge information creation assist apparatus assists creation of knowledge information relating to a question, for example FAQs can be created from past user accumulated support histories. The apparatus includes: an input controller configured to control upload of plural user support histories including questions; a screen controller configured to perform first display control for displaying, on a display apparatus, a question group creation screen including group information of each of question groups created from the user support histories classified according to a predetermined classification model and second display control for displaying a knowledge information creation screen for producing knowledge information in response to input performed by a creator to one of the question groups selected on the question group creation screen; and an output controller configured to produce output data of the knowledge information created for each question group on the knowledge information creation screen.

Abstract: In general, according to one embodiment, a named-entity extraction apparatus according to an embodiment includes: an unit extracting, using an extraction dictionary, named entities and relations from extraction document data; a unit designating character strings corresponding to the named entities extracted among character strings in learning document data; a generator generating, by applying a relation extraction rule, a learning document in which relations between named entities belonging to the categories of the relation extraction rule among the named entities designated; and a unit learning the extraction dictionary based on the learning document.

Abstract: Disclosed is a service providing system capable of providing an information processing function effective for a variety of system constructions as a service. The service providing system of the present embodiment realizes an information retrieval function, a knowledge base construction function, and a knowledge presentation function. The information retrieval function retrieves information on an analysis target and information indicating a condition of the analysis target; the knowledge base construction function constructs a knowledge database for acquiring knowledge corresponding to the condition of the analysis target based on the information retrieved by the information retrieval function. The knowledge presentation function presents knowledge corresponding to the condition of the analysis target from the knowledge database.

Abstract: A system for grouping and providing collected image content is provided with an input module to which first images captured by a first user and second images captured by a second user are input. A processor groups the first images and the second images into at least a first group and a second group, using at least one of a similarity in times and dates of photography of the images, a similarity in locations of photography of the images, and a similarity in subjects or backgrounds included in the images. The processor selects at least one image from images belonging to the first group of the first images and at least one image from images belonging to the second group of the first images, and outputs the selected images as first representative images presented to the first user.

Abstract: According to one embodiment, method includes: classifying images into first group and second group, the first group comprising images, the second group comprising images, both the first group and the second group comprising first image; setting each of images in the first group to be either one of displayable or non-displayable; setting each of images in the second group to be either one of displayable or non-displayable; displaying first representative image of the first group, the first representative image being generated based on at least one displayable image in the first group; displaying second representative image of the second group, the second representative image being generated based on at least one displayable image in the second group; displaying, when the first representative image is selected, displayable images in the first group; and displaying, when the second representative image is selected, a plurality of displayable images in the second group.

Abstract: According to one embodiment, a method is for processing information using a processor. The method includes: regrouping images from at least a first group of first images and a second group of second images into a third group comprising at least one first image and at least one second image; and setting third setting information for the third group based upon first setting information set for the first group and second setting information set for the second group.

Abstract: According to one embodiment, an information providing apparatus has a receiver, an input and a processor. The receiver is configured to receive area information, program information and subtitle information, the area information regarding a broadcast area of programs and corresponding to an area designated by a user, the program information regarding the programs, the subtitle information regarding subtitles included in the programs. The input is configured to input a first keyword. The processor is configured to search the first keyword from the subtitle information, and to generate attention information regarding at least one of an attention program by using a search result of the first keyword from the subtitle information, the programs broadcast in the designated area.

Abstract: According to one embodiment, an electronic device includes a recording module, an analysis module, a decision module, and a sending module. The recording module is configured to record a plurality of image files at logical recording locations. The analysis module is configured to analyze attributes of the plurality of image files. The decision module is configured to decide a representative image for each of the recording locations based on the attributes. The sending module is configured to send the representative image.

Abstract: According to one embodiment, an electronic device includes an analyzer, an image selector, an effect selector and a generator. The analyzer is configured to analyze an attribute of each of a plurality of images. The image selector is configured to select, from the plurality of images, a first image which comprises a target and a second image which does not comprise the target, based on the attribute. The effect selector is configured to select a first effect, and to select a second effect. The generator is configured to generate a moving picture by compositing a third image obtained by applying the first effect to the first image, and a fourth image obtained by applying the second effect to the second image.

Abstract: According to one embodiment, a content synchronizing method includes: first transmitting when receiving an acquiring request for reference time to determine a timing to synchronize a plurality of pieces of content executed by a plurality of modules with each other from a first module out of the modules, the acquiring request for the reference time to a second module out of the modules; receiving source information indicating an acquisition source of the reference time from the second module; and acquiring reference time information indicating the reference time from the acquisition source indicated by the source information, wherein second transmitting to the first module, together with the reference time information, processing time information indicating processing time from receiving the acquiring request until transmitting the reference time information, the processing time information being used to calculate a time lag between time in the first module and the reference time.

Abstract: According to one embodiment, a content synchronizing method includes: first transmitting when receiving an acquiring request for reference time to determine a timing to synchronize a plurality of pieces of content executed by a plurality of modules with each other from a first module out of the modules, the acquiring request for the reference time to a second module out of the modules; receiving source information indicating an acquisition source of the reference time from the second module; and acquiring reference time information indicating the reference time from the acquisition source indicated by the source information, wherein second transmitting to the first module, together with the reference time information, processing time information indicating processing time from receiving the acquiring request until transmitting the reference time information, the processing time information being used to calculate a time lag between time in the first module and the reference time.

Abstract: According to one embodiment, an electronic apparatus includes a grouping module, an attribute determination module, a grouping attribute setting module, a group selection module, and a video generating module. The grouping module classifies contents, to which time information is added, into groups based on the time information. The attribute determination module determines attributes of each of the contents by analyzing features of the contents. The grouping attribute setting module sets, with respect to each of the groups, selected attributes as grouping attributes for the group, the selected attributes being selected from the attributes of the contents in the group under a predetermined condition. The group selection module selects, from the groups, at least one group for which the grouping attribute agreeing with or relating to an input search key are set. The video generating module generates video data by using the contents in the selected groups.

Abstract: According to one embodiment, an optical disk apparatus is provided with a read section which reads data from an optical disk to output read information, a determination section which determines presence/absence of an error of the read information to output an error presence/absence signal, a transfer processing section which receives the error presence/absence signal and receives a hash request signal and transfers the hash request signal when the error presence/absence signal indicates the absence of an error, and does not transfer the hash request signal when the error presence/absence signal indicates the presence of an error, and a processing section which performs hash processing to the read information upon reception of the hash request signal.

Abstract: According to one embodiment, an electronic apparatus includes a grouping module, an attribute determination module, a grouping attribute setting module, a group selection module, and a video generating module. The grouping module classifies contents, to which time information is added, into groups based on the time information. The attribute determination module determines attributes of each of the contents by analyzing features of the contents. The grouping attribute setting module sets, with respect to each of the groups, selected attributes as grouping attributes for the group, the selected attributes being selected from the attributes of the contents in the group under a predetermined condition. The group selection module selects, from the groups, at least one group for which the grouping attribute agreeing with or relating to an input search key are set. The video generating module generates video data by using the contents in the selected groups.

Abstract: A content playback apparatus includes an SKF selecting unit that selects one segment key file from plural segment key files recorded in a DVD media at a time of playback of a content of the sequence key section, a data selecting unit that selects each content corresponding to a segment number of each key entry registered in the selected segment key file, a moving picture data decrypting unit that decrypts the selected moving picture data by a segment key corresponding to the segment number, and a decoder that plays back the decrypted moving picture data.