Persistent Storage and Query of Expressive Ontology

Author

Ye, Yuxin ; Ouyang, Dantong ; Dong, Xuchu

Author_Institution

Key Lab. of SCKE of Minist. of Educ., Jilin Univ., Changchun, China

fYear

2010

fDate

9-10 Jan. 2010

Firstpage

462

Lastpage

465

Abstract

Recently, only RDF Schema is considered because storage and query for other Semantic Web data modeling formalisms, especially OWL, is still an open research issue. Persistent storage and query of expressive ontology is a challenging task for the Semantic Web technology. In this paper, by combining reasoning with relational database management system, a reasonable method is proposed. It´s described how to infer underlying knowledge using tableau algorithm, and considered how to provide persistent storage using relational database. It also introduces a query method with SPARQL in large-scale knowledgebase in further. At last, the system architecture is designed to implement this approach.

Keywords

knowledge based systems; knowledge representation languages; query languages; relational databases; semantic Web; theorem proving; OWL; RDF schema; SPARQL; expressive ontology; large scale knowledgebase; persistent query; persistent storage; relational database management system; semantic Web data modeling; tableau algorithm; Computer science; Data mining; Educational technology; Large-scale systems; OWL; Ontologies; Relational databases; Resource description framework; Semantic Web; Terminology; Expressive Ontology; Persistent Storage; SPARQL; Semantic Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on

Conference_Location

Phuket

Print_ISBN

978-1-4244-5397-9

Electronic_ISBN

978-1-4244-5398-6

Type

conf

DOI

10.1109/WKDD.2010.82

Filename

5432536