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Design of Relational Storage Schema and Query Processing for Semantic Web Documents

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(1), pp.35-45
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Lee, Soon-mi 1

1경인여자대학

Accredited

ABSTRACT

According to the widespread use of ontology documents, a management system which store ontology data and process queries is needed for retrieving semantic information efficiently. In this paper I propose a storage schema that stores and retrieves semantic web documents based on RDF/RDFS ontology language developed by W3C in a relational databases. Specially, the proposed storage schema is designed to retrieve efficiently hierarchy information and to increase efficiency of query processing. Also, I describe a mechanism to transform RQL semantic queries to SQL relational queries and build up database using MS-ACCESS and implement in this paper. According to the result of implementation, we can know that not only data query based on triple model but also query for schema and hierarchy information are transformed simply to SQL.

Citation status

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