Semantic Web based DQL Search System


The KIPS Transactions:PartB , Vol. 12, No. 1, pp. 91-100, Feb. 2005
10.3745/KIPSTB.2005.12.1.91,   PDF Download:

Abstract

It has been proposed diverse methods to use web information efficiently as the size of information is increasing. Most of search system 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 imput, and get resolution information that user want. To improve efficiency and accuracy of semantic search system, this paper proposes DQL(DAML Query Language) engine that employs inference engine to execute reasoning and DQL converter that changes keyword from question of the user to DQL.


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Cite this article
[IEEE Style]
J. M. Kim and Y. T. Park, "Semantic Web based DQL Search System," The KIPS Transactions:PartB , vol. 12, no. 1, pp. 91-100, 2005. DOI: 10.3745/KIPSTB.2005.12.1.91.

[ACM Style]
Je Min Kim and Young Tack Park. 2005. Semantic Web based DQL Search System. The KIPS Transactions:PartB , 12, 1, (2005), 91-100. DOI: 10.3745/KIPSTB.2005.12.1.91.