A Researcher Expertise Search System using Ontology-Based Data Mining

Punnarut, R. and Sriharee, G.

This paper proposes an approach to discover the expertise of researchers using data mining with skill classification ontology. The skill classification ontology is an information model containing skills of doing research in the area of computer and information science. A methodology to build the ontology is presented. The expertise search system is developed, which uses the skill classification ontology, researcher profiles and research profiles in the retrieving process. These profiles and ontology are expressed by OWL. Also, the matching and ranking processes are proposed and these follow semantic-based matching. We explored the evaluation of the retrieving process and the result shows that the proposed approach enables the expertise search system to be efficient regarding accuracy.

Cite as: Punnarut, R. and Sriharee, G. (2010). A Researcher Expertise Search System using Ontology-Based Data Mining. In Proc. 7th Asia-Pacific Conference on Conceptual Modelling (APCCM 2010) Brisbane, Australia. CRPIT, 110. Link, S. and Ghose, A. Eds., ACS. 71-78

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