Presentation 2001/7/11
The information Retrieval Based on the Information Theory Model
Noriaki Kawamae, Terumasa Aoki, Hiroshi Yasuda,
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Abstract(in English) This paper presents a novel a novel approach mapping documents into a conceptual space. Many search systems are based on simple word matching method. We have trouble in seeking the information by this method. Because this search are used by natural language and not by user's needs to information. Our presented information retrieval method use not words but concepts generating words in documents. This method is based on the information theory. We infer the concepts from words and map documents in the concept space. The relation of documents mapped in the concept space approximates the essential similarity between documents. Therefore the precision of document classification improves, and users can search by their concepts.
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Keyword(in English) Information Retrieval / Information Theory / Conceptual Search / Stochastic Complexity / Document Classification / Latent Semantic Space
Paper # DE2001-57
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Committee DE
Conference Date 2001/7/11(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) The information Retrieval Based on the Information Theory Model
Sub Title (in English)
Keyword(1) Information Retrieval
Keyword(2) Information Theory
Keyword(3) Conceptual Search
Keyword(4) Stochastic Complexity
Keyword(5) Document Classification
Keyword(6) Latent Semantic Space
1st Author's Name Noriaki Kawamae
1st Author's Affiliation Research Center for Advanced Research and Technology, The University of Tokyo()
2nd Author's Name Terumasa Aoki
2nd Author's Affiliation Research Center for Advanced Research and Technology, The University of Tokyo
3rd Author's Name Hiroshi Yasuda
3rd Author's Affiliation Research Center for Advanced Research and Technology, The University of Tokyo
Date 2001/7/11
Paper # DE2001-57
Volume (vol) vol.101
Number (no) 192
Page pp.pp.-
#Pages 8
Date of Issue