An integrated OWL data mining and query system
Tzung‐Pei Hong, Jun-Song Dong, Wen-Yang Lin · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 2008
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.