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http://dx.doi.org/10.5391/JKIIS.2004.14.6.737

Knowledge-based Semantic Meta-Search Engine  

Lee, In-K. (영남대학교 전자정보공학부)
Son, Seo-H. (영남대학교 전자정보공학부)
Kwon, Soon-H. (영남대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 737-744 More about this Journal
Abstract
Retrieving relevant information well corresponding to the user`s request from web is a crucial task of search engines. However, most of conventional search engines based on pattern matching schemes to queries have a limitation that is not easy to provide results corresponding to the user`s request due to the uncertainty of queries. To overcome the limitation in this paper, we propose a framework for knowledge-based semantic meta-search engines with the following five processes: (i) Query formation, (ii) Query expansion, (iii) Searching, (iv) Ranking recreation, and (v) Knowledge base. From simulation results on english-based web documents, we can see that the Proposed knowledge-based semantic meta-search engine provides more correct and better searching results than those obtained by using the Google.
Keywords
WordNet;
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