Presentation 1999/1/11
An Application of Concept Bases to Information Retrieval : An Evaluation on Characteristics of Information Retrieval using Concept Bases
Mutsumi Kumamoto, Shigeo Shimada, Tsuneaki Kato,
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Abstract(in English) In this paper, we evaluate the ablities of similar information retrieval (IR) methods : (1) a conventional information retrieval method ( the tf・idf method), and (2) an information retrieval method based on concept bases (knowledge of word meanings). The tf・idf method is very effective when the relevant documents include words in a query, but is ineffective when the relevant documents do not include words in a query. The IR method based on concept bases is effective when the relevant documents do not include words in a query. The combination of both methods is even more effective.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information Retrieval / Concept Base / Vector Space Model / Similarity
Paper # AI98-63
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Committee AI
Conference Date 1999/1/11(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Application of Concept Bases to Information Retrieval : An Evaluation on Characteristics of Information Retrieval using Concept Bases
Sub Title (in English)
Keyword(1) Information Retrieval
Keyword(2) Concept Base
Keyword(3) Vector Space Model
Keyword(4) Similarity
1st Author's Name Mutsumi Kumamoto
1st Author's Affiliation NTT Communication Science Laboratories()
2nd Author's Name Shigeo Shimada
2nd Author's Affiliation NTT Communication Science Laboratories
3rd Author's Name Tsuneaki Kato
3rd Author's Affiliation NTT Communication Science Laboratories
Date 1999/1/11
Paper # AI98-63
Volume (vol) vol.98
Number (no) 498
Page pp.pp.-
#Pages 8
Date of Issue