HOM: An Approach to Calculating Semantic Similarity Utilizing Relations between Ontologies
In the Internet environment,ontology heterogeneity is inevitable due to many coexistent ontologies.Ontology alignment is a popular approach to resolve ontology heterogeneity.Ontology alignment establishes the relation between entities by computing their semantic similarities using local or/and non-local contexts of entities.Besides local and non-local context of entities,the relations between two ontologies are helpful for computing their semantic similarity in many situations.The aim of this article is to improve the performance of ontology alignment by using these relations in similarity computing.A hierarchical Ontology Model (HOM) which describes these relations formally is proposed followed by HOM-Matching,an algorithm based on HOM.It makes use of the relations between ontologies to compute semantic similarity.Two groups of experiments are conducted for algorithm validationand parameters optimization.
Zhizhong Liu Huaimin Wang Bin Zhou
College of computer science,National University of defense Technology.Changsha China
国际会议
4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)
哈尔滨
英文
237-245
2008-01-16（万方平台首次上网日期，不代表论文的发表时间）