Ontology Clarification by Using WordNet
Xiaodong Wang · 2008
Semantic Web technology highly depends on the quality of ontology as it reduces or eliminates conceptual confusion and reuses knowledge.In order to enhance quality of ontology,a vast amount of research has focused on concept modeling task,but there is one major problem with lexical representation of ontology.Current lexical representation is term which may have different meanings;this can result in frustrating misunderstanding and ambiguity during the management and application of ontology.To solve this problem,sense is used to replace term as the lexical representation of concepts and properties for its unique meaning.We call ontology clarification the process of automatically disambiguating terms in ontology by using its surrounding ontology elements and its nearby terms in annotated documents using this ontology.The right sense is assigned to a target term by maximizing the relatedness between the target and its neighbors for semantic relatedness between them.Experiments show our ontology clarification method has good performance.Comparing with the best word sense disambiguation method,the concept precision is almost 2 times than the precision of noun,and the property precision is almost 3 times than the precision of verb.The last experiment proves that our method is also effective in a semi-automatic ontology clarification process.