A New Self-Adapting Knowledge Fusion System

This paper presents a new knowledge fusion method with a feedback and self-adapting mechanism. Representing structure of distributed knowledge objects is uniformed by ontology technology and meta-knowledge. A detailed improved knowledge fusion algorithm based on genetic algorithm and semantic filter is described. The proposed feedback mechanism is based on message communication between knowledge space and application service, which can evaluate the fusion results and optimize the fusion process to adapt to the requirements. Experimental results of emulator procedures show the validity and feasibility of design rationale.