Research on Concept Semantic Similarity Computation Based on Domain Ontology Model
Lei Huang · Journal of the China Railway Society · 2011
Along with the widespread application of ontology in the fields of information retrieval and artificial intelligence etc,the concept similarity computation of domain ontology has become the focus research field.Currently,most research on concept similarity computation based on is relation between concepts,however,it does not utilize the concept semantic information completely.Firstly,on the basis of ontology model,this paper proposes an Eight-tuples model for domain ontology and a Nine-tuples model for its concept.We can use the Directed Cyclic Graph(DCG) to formalize the domain ontology.Then this paper builds the fourfold Matching-Distance Model(MD4) to compute concept semantic similarity based the on domain ontology model.This MD4 model has comprehensive consideration about the property,is-a relation,user-defined relation and instance of concept.And through integration computation,we can get the true concept similarity.Finally,this paper makes an experiment on the EMU ontology that was built in the high-speed railway domain.The experiment shows that the method utilizes the concept semantic information fully and the computation result reasonable.