An integrated OWL data mining and query system

Author

Hong, Tzung-Pei ; Dong, Jun-Song ; Lin, Wen-Yang

Author_Institution

Dept. of Comp. Sci. & Info. Eng., Nat. Univ. of Kaohsiung, Kaohsiung

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

251

Lastpage

255

Abstract

In this paper, we propose an integrated OWL data mining and query system architecture for expressing the mined knowledge in the OWL format and for effectively answering users´ queries. The proposed system consists of five sub-systems: query parser, rule inference system, ontology management system, knowledge generation system, and knowledge management system. We expect the architecture can provide users to query mined knowledge through the internet and with a more machine-understandable format.

Keywords

Internet; data mining; ontologies (artificial intelligence); query processing; Internet; OWL format; Web ontology language; fquery parser; integrated OWL data mining; knowledge generation system; knowledge management system; machine-understandable format; mined knowledge; ontology management system; query system architecture; rule inference system; Association rules; Data mining; Database languages; Internet; Itemsets; Knowledge management; OWL; Ontologies; Semantic Web; World Wide Web; OWL language; association rules; data mining; ontology; semantic web;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811283

Filename

4811283