Ontology-based knowledge fusion framework using graph partitioning

Authors:
Tsung-Ting Kuo;Shian-Shyong Tseng;Yao-Tsung Lin
Affiliations:
Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.;Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.;Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Venue:
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Year:
2003

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Abstract

For a variety of knowledge sources and time-critical tasks, knowledge fusion seems to be a proper concern. In this paper, we proposed a reconstruction concept and a three-phase knowledge fusion framework which utilizes the shared vocabulary ontology and addresses the problem of meta-knowledge construction. In the framework, we also proposed relationship graph, an intermediate knowledge representation, and two criteria for the fusion process. An evaluation of the implementation of our proposed knowledge fusion framework in the intrusion detection systems domain is also given.