Knowledge Fusion System Based on Meta-Information and Ontology

The earlier process of extracting meta-knowledge predigests the diversion among multi-source knowledge.An ontology based genetic fusion algorithm is introduced to form a new knowledge space of solution,applying a self-adaptive mechanism of performance evaluation and refinement of parameters to promote the evolutionary process.The working principle and implementation of system structure and its composition modules are described in detail.The feasibility is discussed through a case study.