Abstract: According to one embodiment, an image receiving apparatus includes a tuner, a verification unit, a transceiver and a display. The tuner decodes a broadcast wave into a video content. The verification unit performs a verification that determines whether or not a use of the decoded video content falls under a personal use. The transceiver encrypts and transmits the video content to a server when the verification is successful, and transmits to the server an acquisition request and receives the list. The transceiver receives from the user a play request, transmits the play request to the server to receive the first video content which is encrypted, and decrypts the first video content which is encrypted. The display displays the decrypted first video content.

Abstract: When a scene group including plural scenes, for example a group of scenes bookmarked during viewing of video contents is inputted, a combination of a scene and metadata in a group of metadata that represents characteristics of the scene, corresponding to the respective scenes in the scene group, which combination has a largest distance between the metadata, is selected as explanatory descriptions that are explanations for distinguishing among the scenes, and the selected explanatory descriptions for each scene included in the scene group is added to each scene.

Abstract: According to one embodiment, a phrase similarity is reduced when a common genre characteristic word is included in a program of interest interested by a user and a similar phrase program including the same phrase. A genre similarity is increased when a common genre characteristic word is included in the program of interest and a similar genre program including the same genre as the program of interest. The similar phrase program is presented based on the phrase similarity, and the similar genre program is presented based on the genre similarity.

Abstract: A data creating apparatus extracts meta data about a topic from a document, the meta data including at least one linguistic expression about a behavior, a plurality of the linguistic expressions having a first modification relation. The data creating apparatus converts the linguistic expressions included in the behavioral meta data into each class, based on a behavior ontology that is expressed by a graph where the linguistic expression about a behavior is an instance and a concept of the instance is a class to create behavior map data that represents each of the classes converted and also representing a second modification relation among the classes as a link.

Abstract: According to one embodiment, a contents storage unit stores a plurality of contents. An additional information storage unit stores a plurality of additional information each differently corresponding to each of the contents. A selection history storage unit stores a history of selection from the contents and the additional information by a user in the past. A first estimation unit estimates a first preference information representing a tendency of the user's preference for the contents, based on the history. A second estimation unit estimates a second preference information representing a tendency of the user's preference for the additional information, based on the history. A selection unit selects a recommended content from the contents, and selects a recommended additional information from the additional information, based on the first preference information and the second preference information.

Abstract: According to one embodiment, a relevancy presentation apparatus includes a storage, an extraction unit, a first expansion unit, a second expansion unit, a determination unit and a generation unit. The storage stores topic networks. The extraction unit extracts subject keywords. The first expansion unit acquires first relevant words from the topic networks. The second expansion unit searches an ontologies for the subject keywords. The determination unit extracts common relevant words, and determines whether frequencies of appearances of relevant words are stationary. The generation unit generates search queries based on whether the frequencies of appearances are stationary, and generates search results.

Abstract: According to one embodiment, a natural language processing apparatus includes a translation storage unit which stores (a) a plurality of translation documents having an unknown language document and one or more known language documents, and (b) domains of the translation documents; a translation search unit which specifies one of the domains and search the translation storage unit for the translation documents; a word extraction unit which extracts a pair of words corresponding an unknown language word to a known language word, from the translation documents; an answer creation unit which estimates an analysis result of the unknown language document in the translation documents based on the pair of words and an analysis result of the known language document in the translation documents; and an analyzer creation unit which creates an analyzer of the unknown language document based on the analysis result of the unknown language document.

Abstract: According to one embodiment, a phrase similarity is reduced when a common genre characteristic word Is included in a program of interest interested by a user and a similar phrase program including the same phrase. A genre similarity is increased when a common genre characteristic word is included in the program of interest and a similar genre program including the same genre as the program of interest. The similar phrase program is presented based on the phrase similarity, and the similar genre program is presented based on the genre similarity.

Abstract: According to one embodiment, an apparatus for supporting reading of a document includes a model storage unit, a document acquisition unit, a feature information extraction, and an utterance style estimation unit. The model storage unit is configured to store a model which has trained a correspondence relationship between first feature information and an utterance style. The first feature information is extracted from a plurality of sentences in a training document. The document acquisition unit is configured to acquire a document to be read. The feature information extraction unit is configured to extract second feature information from each sentence in the document to be read. The utterance style estimation unit is configured to compare the second feature information of a plurality of sentences in the document to be read with the model, and to estimate an utterance style of the each sentence of the document to be read.

Abstract: Described is a next search keyword presentation apparatus, method and program for the presentation of the next recommended search keyword for use in conjunction with the search results. There is provided an apparatus of presenting relevant next search keywords, including an input unit for inputting a search keyword. A search control unit sends search keywords to a search system and receives search results which are displayed as documents on a display unit. A text body extraction unit extracts the text body and an analysis unit carries out a semantic attribute analysis of words contained within the text body. The search keywords are stored as user history data which is used with semantic attributes of each word to create document representative information. A cluster representative keyword extraction unit clusters document characteristic information and extracts cluster representative keywords which are displayed as search keyword candidates, providing recommended keywords based on browsing history.

Abstract: According to one embodiment, a relevancy presentation apparatus includes a storage, an extraction unit, a first expansion unit, a second expansion unit, a determination unit and a generation unit. The storage stores topic networks. The extraction unit extracts subject keywords. The first expansion unit acquires first relevant words from the topic networks. The second expansion unit searches an ontologies for the subject keywords. The determination unit extracts common relevant words, and determines whether frequencies of appearances of relevant words are stationary. The generation unit generates search queries based on whether the frequencies of appearances are stationary, and generates search results.

Abstract: An extracting unit extracts keywords from metadata extracted from played scenes. An attaching unit attaches a semantic class to the keywords. A semantic class determining unit determines whether the semantic class is a should-be-played class. When there is a keyword with the should-be-played class attached, an acquiring unit acquires at least one keyword without having the should-be-played class as a should-be-observed keyword. When the metadata includes the should-be-observed keyword and a keyword to which a should-be-stopped class is attached, an appearance determining unit determines that a scene including the should-be-observed keyword appears in contents.

Abstract: A data creating apparatus extracts meta data about a topic from a document, the meta data including at least one linguistic expression about a behavior, a plurality of the linguistic expressions having a first modification relation. The data creating apparatus converts the linguistic expressions included in the behavioral meta data into each class, based on a behavior ontology that is expressed by a graph where the linguistic expression about a behavior is an instance and a concept of the instance is a class to create behavior map data that represents each of the classes converted and also representing a second modification relation among the classes as a link.

Abstract: A data creating apparatus extracts meta data about a topic from a document, the meta data including at least one linguistic expression about a behavior, a plurality of the linguistic expressions having a first modification relation. The data creating apparatus converts the linguistic expressions included in the behavioral meta data into each class, based on a behavior ontology that is expressed by a graph where the linguistic expression about a behavior is an instance and a concept of the instance is a class to create behavior map data that represents each of the classes converted and also representing a second modification relation among the classes as a link.

Abstract: An apparatus includes unit acquiring comment information items related to video content, each of the comment information items including a comment, and a start time and an end time of the comment, unit dividing the comment into words by morpheme analysis for each of the comment information items, unit acquiring an estimated value of each of the words, the estimated value indicating a degree of importance used when the scenes are extracted, unit adding the acquired estimated value of each of the words for each of the words during a period of time ranging from the start time to the end time of the comment that contains a corresponding word to acquire estimated value distributions of the words, and unit extracting a start time and an end time of one scene and to be extracted from the video content, based on a shape of the estimated value distributions.

Abstract: A program structuring device includes a play-list collecting unit that collects a play list for a content in which a time series is defined; a first storage unit that stores cutoff points that appear in the play list and are breakpoints of a program structure of the content, in correspondence with a frequency of appearance of each of the cutoff points; a calculating unit that calculates a level of relevance between scene segments defined by the cutoff points from the frequency of appearance of each of the cutoff points; an extracting unit that extracts multi-level chapter divisions based on the level of relevance; and a second storage unit that stores the extracted multi-level chapter divisions structured into a tree form.

Abstract: A context estimation rule is applied to spare time on a user's schedule, and contexts are estimated. On the basis of a task template, an input task is divided into plural subtasks. A task recommendation rule for recommending tasks to do from the relation between contexts and metadata of tasks is applied to the spare time of the user, and tasks to do in the spare time are recommended on the basis of the contexts of the spare time and the metadata of the subtasks. The recommended tasks are managed as schedules.

Abstract: Described is a next search keyword presentation apparatus, method and program for the presentation of the next recommended search keyword for use in conjunction with the search results. There is provided an apparatus of presenting relevant next search keywords, including an input unit for inputting a search keyword. A search control unit sends search keywords to a search system and receives search results which are displayed as documents on a display unit. A text body extraction unit extracts the text body and an analysis unit carries out a semantic attribute analysis of words contained within the text body. The search keywords are stored as user history data which is used with semantic attributes of each word to create document representative information. A cluster representative keyword extraction unit clusters document characteristic information and extracts cluster representative keywords which are displayed as search keyword candidates, providing recommended keywords based on browsing history.

Abstract: A data creating apparatus extracts meta data about a topic from a document, the meta data including at least one linguistic expression about a behavior, a plurality of the linguistic expressions having a first modification relation. The data creating apparatus converts the linguistic expressions included in the behavioral meta data into each class, based on a behavior ontology that is expressed by a graph where the linguistic expression about a behavior is an instance and a concept of the instance is a class to create behavior map data that represents each of the classes converted and also representing a second modification relation among the classes as a link.

Abstract: An extracting unit extracts keywords from metadata extracted from played scenes. An attaching unit attaches a semantic class to the keywords. A semantic class determining unit determines whether the semantic class is a should-be-played class. When there is a keyword with the should-be-played class attached, an acquiring unit acquires at least one keyword without having the should-be-played class as a should-be-observed keyword. When the metadata includes the should-be-observed keyword and a keyword to which a should-be-stopped class is attached, an appearance determining unit determines that a scene including the should-be-observed keyword appears in contents.