Presentation 1999/7/22
A Semantic Associative Search Method for Metadata containing Continuous Values
TOMOHIRO IKEDA, YASUSHI KIYOKI,
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Abstract(in English) In this paper we present a new method for performing semantic associative search for attributes with continuous values. The semantic associative search method is based on the Mathematical Model of Meanings which computes a semantic interrelation between words quantitatively, and it's possible to execute the semantic associative search by reflecting the semantic interrelation according to a given context. This method makes it possible to lead semantic interrelations between indicators according to a given context. As the result, we can obtain combinatorial estimations for several indicators from versatile viewpoints. We clarify the feasibility of the method by showing experimental results.
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Keyword(in English) semantic associative search / continuous values / indicators
Paper # DE99-59
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Committee DE
Conference Date 1999/7/22(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Semantic Associative Search Method for Metadata containing Continuous Values
Sub Title (in English)
Keyword(1) semantic associative search
Keyword(2) continuous values
Keyword(3) indicators
1st Author's Name TOMOHIRO IKEDA
1st Author's Affiliation Graduate School of Media and Governance, Keio University()
2nd Author's Name YASUSHI KIYOKI
2nd Author's Affiliation Faculty of Environmental Information, Keio University
Date 1999/7/22
Paper # DE99-59
Volume (vol) vol.99
Number (no) 202
Page pp.pp.-
#Pages 6
Date of Issue