Kabushiki Kaisha Toshiba

Toshiba Solutions Corporation

Toshiba Digital Solutions Corporation

Masumi Inaba

Takehiro Yoshimoto

Takahiro Kawamura

Shinichi Nagano

Toshihiko Manabe

Wataru Nakano

Tomoharu Kokubu

Shinichi Fujita

Kazuaki Takahashi

Nobuyuki Fukushima

Tetsuo Hasegawa

Hiroyuki Oikawa

Akira Ishitsuka

Yumiko Shimogoori

Dai Kanazawa

A device cooperation support system includes a user apparatus configured to receive an operation result output from an external device, to output a control signal for operating the external device, and to perform device cooperation control based on a device cooperation rule, and a device cooperation support apparatus configured to support device cooperation between the user apparatus and the external device. The device cooperation support apparatus receives registration of an external device from a device registrant, creates the device cooperation rule by combining condition clause information with execution clause information created on the basis of device operation definition information of the registered external device, and delivers the device cooperation rule to the selected user apparatus based on association between the selected user apparatus and the device cooperation rule.

Device cooperation support system

A data collection apparatus includes a data collection section configured to receive sequential time-series output data pieces for each of data sources, a data shaping section configured to perform data shaping processing on the sequential time-series output data pieces based on a predetermined data shaping rule set for each of the data sources such that the resulting data pieces are reduced in number or in data amount as compared with the output data pieces output from the data source, a data transmission section configured to transmit the output data pieces to the monitor control apparatus, and a data shaping rule control section configured to receive the data shaping rule set for each of the data sources from the monitor control apparatus and to set the received data shaping rule in the data shaping section.

Monitor control system and data collection apparatus

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

A monitoring control system sequentially processing data collected from various data sources to find a possible phenomenon, producing an appropriate action for the found change or phenomenon, and outputting control information for causing a system to perform a notification or predetermined control. The monitoring control system includes a phenomenon detecting section configured to detect a phenomenon leading to a particular result from contiguous data received from data sources serving as data transmission element based on detecting rule definition data previously specifying a change attribute of contiguous time-series data pieces for each phenomenon leading to a particular result, and a determination section configured to extract action information associated with the particular result detected by the phenomenon detecting section to produce an event for a predetermined system based on action definition data previously specifying action information for each particular result.

Monitoring control system and control method

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

A display-data generating apparatus obtains reputation information indicative of reputation of a subject and extracted from a text accessible via a network, and linkage information indicative of a linkage between texts, and couples the reputation information and the linkage information to obtain the linkage between the texts associated with the reputation information specified from each of the texts. The display-data generating apparatus determines a display mode of a first mark that symbolizes the text and a second mark that symbolizes the linkage based on the reputation information corresponding to the text, and generates a display data to display the first mark and the second mark in the determined display mode.

Display-data generating apparatus and display-data generating method

An apparatus for retrieving a structured document including a first specifying unit that specifies a plurality of object documents from a plurality of structured documents being accessible via a network, the object document being the structured document according to retrieval condition; a first extracting unit that extracts text included in the object document; a second extracting unit that extracts metadata appended to the object document, the metadata being first data concerning the text of the object document and second data indicating a link relation between the object document and the structured documents; and a first calculating unit that calculates importance of each of the object documents, based on the text and the metadata of each of the object documents.

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Fuchu, Japan

Masumi Inaba