Presentation | 1999/7/22 A Semantic Associative Search Method for Metadata containing Continuous Values TOMOHIRO IKEDA, YASUSHI KIYOKI, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | semantic associative search / continuous values / indicators |
Paper # | DE99-59 |
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Committee | DE |
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Conference Date | 1999/7/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
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