Proposal of an Information Compilation Method for Massive News Video Data Based on their Time-Series Semantic Structure

Ide, Ichiro; Kinoshita, Tomoyoshi; Takahashi, Tomokazu; Mo, Hiroshi; Katayama, Norio; Satoh, Shin’ichi; Murase, Hiroshi

doi:10.1527/tjsai.23.282

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Overview Of the Interface1

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Cited by 2 publications

(1 citation statement)

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“…We have previously implemented an interface for browsing and editing news video based on the topic thread structure named "mediaWalker" † [2], [15]. Here, we introduce an extended version of the interface that supports linking to external resources; "mediaWalker II".…”

Section: Overview Of the Interfacementioning

confidence: 99%

Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-Scale News Video Archive

Ide

Kinoshita²,

Takahashi

et al. 2012

IEICE Trans. Inf. & Syst.

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Section: Overview Of the Interfacementioning

confidence: 99%

Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-Scale News Video Archive

Ide

Kinoshita²,

Takahashi

et al. 2012

IEICE Trans. Inf. & Syst.

Self Cite

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Constructing a Linguistic Expression Corpus on the Values and Behaviors of Time Series Information Toward Compilation of Trend Information

Kato¹,

Matsushita²,

Kando³

2010

Transactions of the Japanese Society for Artificial Intelligenc

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Statistical information such as gasoline prices and approval ratings of political parties, that has time as one of its domains and numerical values as its range is called time series information. You can obtain the trend of a topic you are interested in by extracting time series information from documents on the topic and compiling it. You, in turn, use the trend for the understanding of and information access from those documents. In order to support mainly to design and implement such a information compilation system, we have constructed a corpus, by extracting linguistic expressions describing the values and the behaviors of time series information from documents, in this case newspaper articles, and coding those contents into a formal framework. This paper explains the coding schema used for this corpus construction, and shows its appropriateness. This paper also includes findings obtained through the corpus construction, such as some classification of syntactic patterns and the vocabulary for describing the behaviors of time series information.

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Proposal of an Information Compilation Method for Massive News Video Data Based on their Time-Series Semantic Structure

Cited by 2 publications

References 14 publications

Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-Scale News Video Archive

Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-Scale News Video Archive

Constructing a Linguistic Expression Corpus on the Values and Behaviors of Time Series Information Toward Compilation of Trend Information

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