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http://dx.doi.org/10.3745/KIPSTB.2005.12B.1.091

Semantic Web based DQL Search System  

Kim Je-Min (숭실대학교 대학원 컴퓨터학과)
Park Young-Tack (숭실대학교 컴퓨터학과)
Abstract
It has been proposed diverse methods to use web information efficiently as the size of information is increasing. Most of search systems use a keyword-based method that mostly relies on syntactic information. They cannot utilize semantic information of documents and thus they could generate to users. To solve shortcoming in searching documents, a technique using the Semantic Web is suggested. A semantic web can find relevant information to users by employing metadata which are represented using standard ontologies. Each document is annotated with a metadata which can be reasoned by agents. In this paper, we propose a search system using semantic web technologies. Our semantic search system analyzes semantically questions that user input, and get resolution information that user want. To improve efficiency and accuracy of semantic search systems, this paper proposes DQL(DAML Query Language) engine that employs inference engine to execute reasoning and DQL converter that changes keyword form question of the user to DQL.
Keywords
Semantic Search; DQL(Daml Query Language; Web Service; Semantic Web; Forward Chaining;
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