Presentation | 2010-08-23 Semantic Retrieval for natural language texts by using conceptual graphs Satoshi TAKAYAMA, Mitsuru ISHIZUKA, Hiroshi UCHIDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we present two types of semantic retrieval systems using conceptual graphs. One is an application of semantic web framework and the other is an original framework on relational database. Our systems process natural language texts as Concept Description Language and extend queries with Universal Word thesaurus. In our experiments we evaluate two aspects of our systems: query extension and use of conceptual relations. The results showed that our methods improved the retrieval performance. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | semantic retrieval / conceptual graph / concept description / natural language |
Paper # | AI2010-14 |
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Committee | AI |
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Conference Date | 2010/8/16(1days) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Semantic Retrieval for natural language texts by using conceptual graphs |
Sub Title (in English) | |
Keyword(1) | semantic retrieval |
Keyword(2) | conceptual graph |
Keyword(3) | concept description |
Keyword(4) | natural language |
1st Author's Name | Satoshi TAKAYAMA |
1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
2nd Author's Name | Mitsuru ISHIZUKA |
2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
3rd Author's Name | Hiroshi UCHIDA |
3rd Author's Affiliation | UNDL Foundation |
Date | 2010-08-23 |
Paper # | AI2010-14 |
Volume (vol) | vol.110 |
Number (no) | 172 |
Page | pp.pp.- |
#Pages | 5 |
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