论文信息 - Knowledge Fusion: A New Method to Share and Integrate Distributed Knowledge Sources

Knowledge Fusion: A New Method to Share and Integrate Distributed Knowledge Sources

This paper presents a new method to integrate and share distributed knowledge objects using fusion process. Knowledge objects are mapped to an ontology base and transformed to meta-knowledge set. A detailed knowledge fusion algorithm based on GA and semantic rules is proposed. Feedback mechanism is also discussed to optimize both the fusion process and knowledge space. Experimental results of a case study show the feasibility of design rationale in a knowledge-based service environment.

Wei Luo | Yangyang Wu | Jin Gou

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