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

¹한국예술종합학교
²홍익대학교
³홍익대학교
⁴홍익대학교

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
REFERENCES (11)

[book] Tim Berners-Lee / 2001 / The Semantic Web / Scientific American

[other] World Wide Web Consortium / 2004 / Resource Description Framework(RDF) Model and Syntax Specification

[other] World Wide Web Consortium / 2004 / Resource Description Framework(RDF) Schema Specification 1.0

[confproc] S. Alexaki / 2001 / The ICS-FORTH RDFSuite: Managing Voluminous RDF Description Bases / In Proc. of SemWeb

[confproc] Broekstra / 2002 / Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema / In Proc. of International Semantic Web Conference

[other] S. Melnik / Storing RDF in a Relational Database

[confproc] J. Broekstra / 2002 / Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema / In Proc. of the 1st Int‘l Semantic Web Conference : 54~68

[confproc] A. Harth / 2005 / / In Proc. of the 3rd Latin American Web Congress

[confproc] A. Reggiori / 2003 / Indexing and retrieving Semantic Web resources: the RDFStore model / In Proc. of SWAD-Europe Workshop on Semantic Web Storage and Retrieval

[confproc] A. Matono / 2003 / An indexing scheme for RDF and RDF schema based on suffix arrays / In Proc. of the first International Workshop on Semantic Web and Databases (SWDB)

[web] / Gene Ontology / www.geneontology.org
KCI Citation (5)

KJC Korea
Journal Central

Statistics

Tools