Presentation 2004/7/7
Content Integration Based on Complementary Information Retrieval
Qiang MA, Katsumi TANAKA,
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Abstract(in English) In this paper, we propose a new way of integrating cross-media content, such as television programs and web pages based on a notion called the "topic structure". Intuitively, a topic structure is made up of a pair of subject and content terms. Subject terms denote the dominant terms of a news item. A content term is a term having strong co-occurrence relationships with the subject terms. Based on the topic structure, we search cross-media content to find complementary items which can provide additional information to users interested in a particular topic. The complementary information searched for are not just similar to the item the user is interested in, but also provide information in more detail or from a different perspective.
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Keyword(in English) complementary information / topic structure / content integration / complementarity degree
Paper # DE2004-54
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Committee DE
Conference Date 2004/7/7(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Content Integration Based on Complementary Information Retrieval
Sub Title (in English)
Keyword(1) complementary information
Keyword(2) topic structure
Keyword(3) content integration
Keyword(4) complementarity degree
1st Author's Name Qiang MA
1st Author's Affiliation Interactive Communication Media and Contents Group, National Institute of Information and Communications Technology()
2nd Author's Name Katsumi TANAKA
2nd Author's Affiliation Graduate School of Informatics, Kyoto University:Interactive Communication Media and Contents Group, National Institute of Information and Communications Technology
Date 2004/7/7
Paper # DE2004-54
Volume (vol) vol.104
Number (no) 177
Page pp.pp.-
#Pages 6
Date of Issue