Title :
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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2008.4811283
