Kabushiki Kaisha Toshiba

Toshiba Solutions Corporation

Toshihiko Manabe

Wataru Nakano

Tomoharu Kokubu

Mika Fukui

Hideki Tsutsui

Masumi Inaba

Masaru Suzuki

Yojiro Tonouchi

Toshinari Takahashi

Toru Imai

Kosei Fume

Yoichi Takebayashi

Ryuzo Okada

Tsukasa Ike

Hidetaka Ohira

Mieko Asano

Kouichi Sasaki

Yasuko Nakayama

Kazuyuki Gotoh

Koji Urata

Hiromi Wakaki

Yoshihisa Ohtake

Hiroko Hayama

According to an embodiment, a search device includes a first storage to store therein a keyword group generated by grouping keyword candidates which are to be candidates for a search keyword according to a rule set in advance; a first acquisition unit to acquire a first recommended keyword which is the keyword candidate partially including an input string not yet been entered; a second acquisition unit to acquire a second recommended keyword which is included in the keyword group to which the first recommended keyword belongs and which is the keyword candidate other than the first recommended keyword; an output unit to output a search screen for displaying the first recommended keyword and the second recommended keyword in a selectable way; and a search unit to perform a search with the first recommended keyword or the second recommended keyword selected on the search screen as the search keyword.

Search device, search method, and computer program product

According to an embodiment, a document classification apparatus includes an extraction unit, a clustering unit, a classification unit, and a label assignment unit. The extraction unit is configured to extract feature words from documents. The clustering unit is configured to cluster the feature words into clusters so that a difference between the number of documents each including any one of the feature words belonging to one cluster and the number of documents each including any one of the feature words belonging to another cluster is equal to or less than a predetermined reference value. The classification unit is configured to classify the documents into the clusters so that each document belongs to the cluster to which the feature word included in the each document belongs. The label assignment unit is configured to assign a classification label to each cluster as a word representative of the corresponding feature words.

Apparatus and method for classifying document, and computer program product

According to one embodiment, an information search apparatus includes a generation unit, a selection unit, a search unit and a display unit. The generation unit generates recognition candidate character strings based on shapes of strokes and combinations of the shapes. The selection unit calculates reliability values for the recognition candidate character strings and selects search keys from the recognition candidate character strings. The search unit searches a database for second character strings including the search keys, and obtains one or more result character strings indicating search results of each of the search keys. The display displays the one or more result character strings corresponding to each of the search keys distinctively.

Information search apparatus and system

According to one embodiment, a keyword presentation apparatus includes an extraction unit, a selection unit and a clustering unit. The extraction unit is configured to extract, as technical terms, morpheme strings, which are not defined in a general concept dictionary, from a document set. The selection unit is configured to evaluate relevancies between each of basic term candidates and the technical terms, and to preferentially select basic term candidates having high relevancies as basic terms. The clustering unit is configured to calculate weighted sums of statistical degrees of correlation between the basic terms based on the document set, to calculate conceptual degrees of correlation between the basic terms based on the general concept dictionary, and to cluster the basic terms based on the weighted sums.

Keyword presentation apparatus and method

A feature-vector generation apparatus includes an input unit configured to input content data including at least one of video data and audio data, a generation unit configured to generate a feature vector, based on information indicating a time at which a characterizing state of the content data appears, the characterizing state being characterized by a change of the at least one of the video data and the audio data, and a storage unit configured to store the content data and the feature vector.

Feature-vector generation apparatus, search apparatus, feature-vector generation method, search method and program

An information retrieval system, includes speech recognition means for making speech recognition for a spoken question to generate first text information, generation means for modifying the first text information to generate second text information as a interrogative to make a search for an answer to the question, and search means for searching the answer from a document database by using the second text information.

Information retrieval system, method, and program

An information sharing system using a computer so as to allow a plurality of users to share disclosed information, the system comprising, input section for receiving responses to the disclosed information from references of the disclosed information, evaluation information generation section for totalizing and processing the responses to generate evaluation information and storing the evaluation information after correlating it with the disclosed information, and evaluation information notifying section for presenting the evaluation information generated by the evaluation information generation section.

Information sharing system and computer program product for causing computer to support the information sharing system

A shared data management scheme capable of manipulating the shared data by the multi-threading without requiring the explicit programming of the lock in the program. In this scheme, different shared data identifiers are assigned to different threads, and different locks are set up for different shared data identifiers, so as to enable the detection of an access in violation to the locks among the accesses to the shared data for each thread separately. Preferably, the shared data required in an execution of each thread are mapped to a region exclusively allocated to each thread in a virtual space, in units of pages, a page protection of a memory management unit is set up with respect to each page mapping the shared data, and a lock for the shared data mapped to each page is automatically set up in response to an occurrence of an exception due to the page protection of the memory management unit caused by an access to the shared data mapped to each page from each thread.

Shared data management scheme using shared data locks for multi-threading

Growing community of inventors

Kamakura, Japan

Toshihiko Manabe