Indexing and Storage Schemes for Keyword-based Query Processing over Semantic Web Data

김연희; 신혜연; Lim Hae Chull; 정균락

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2007, 12(5), pp.93-102
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

김연희 ¹ , 신혜연 ² , Lim Hae Chull ³ , 정균락 ⁴

¹ 한국예술종합학교
² 홍익대학교
³ 홍익대학교
⁴ 홍익대학교

ABSTRACT

Metadata and ontology can be used to retrieve related information through the inference more accurately and simply on the Semantic Web. RDF and RDF Schema are general languages for representing metadata and ontology. An enormous number of keywords on the Semantic Web are very important to make practical applications of the Semantic Web because most users prefer to search with keywords. In this paper, we consider a resource as a unit of query results. And we classify queries with keyword conditions into three patterns and propose indexing techniques for keyword-search considering both metadata and ontology. Our index maintains resources that contain keywords indirectly using conceptual relationships between resources as well as resources that contain keywords directly. So, if user wants to search resources that contain a certain keyword, all resources are retrieved using our keyword index. We propose a structure of table for storing RDF Schema information that is labeled using some simple methods.
KEYWORDS

Keyword-based Query , Indexing Scheme , Storage Scheme , Semantic Web
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KCI Citation (5)

KJC Korea
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