Ontology Merging Method Based on Information Entropy and Deviance
LU Chuanya · Computer and Digital Engineering · 2014
For two or more related ontology merging,the usage of methods based on FCA(formal concept analysis)can easily and effectively merge the ontologies.But it does not follow some attributes of the specific user needs and preferences for ontology merging.To deal with the problem,an ontology merging method based on information entropy and deviation is proposed to meet these needs.Through large experiments,we have given threshold D(B)quantitative formula.