DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hang-Kyu | ko |
dc.contributor.author | Park, Chang-Sup | ko |
dc.contributor.author | Lee, Yoon-Joon | ko |
dc.date.accessioned | 2013-03-09T21:31:44Z | - |
dc.date.available | 2013-03-09T21:31:44Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2011-02 | - |
dc.identifier.citation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E94D, no.2, pp.375 - 378 | - |
dc.identifier.issn | 0916-8532 | - |
dc.identifier.uri | http://hdl.handle.net/10203/97513 | - |
dc.description.abstract | Semantic search can be divided into three steps. Keyword matching, the first step, significantly impacts the search results, since the following steps are based on it. In this paper, we propose a keyword matching methodology that aggregates relevance scores of the related text to define the score of an object. Validity of the approach is shown by experiments performed with three public data sets and the detailed analysis of the results. | - |
dc.language | English | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.title | Improving Keyword Match for Semantic Search | - |
dc.type | Article | - |
dc.identifier.wosid | 000290125800025 | - |
dc.identifier.scopusid | 2-s2.0-79951473737 | - |
dc.type.rims | ART | - |
dc.citation.volume | E94D | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 375 | - |
dc.citation.endingpage | 378 | - |
dc.citation.publicationname | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.contributor.localauthor | Lee, Yoon-Joon | - |
dc.contributor.nonIdAuthor | Park, Chang-Sup | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | matching | - |
dc.subject.keywordAuthor | ontology | - |
dc.subject.keywordAuthor | semantic search | - |
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