期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2015
卷号：3
期号：3
页码：1-27
出版社：International Journal of Computer Science and Network Solutions
摘要：Ontology mapping aims to solve the semantic heterogeneity problems such as ambiguous entity names,different entity granularity, incomparable categorization, and various instances of different ontologies. Themapping helps to search or query data from different sources. Ontology mapping is necessary in manyapplications such as data integration, ontology evolution, data warehousing, e-commerce and data exchangein various domains such as purchase order, health, music and e-commerce. It is performed by ontologymatching approaches that find semantic correspondences between ontology entities. In this paper, wereview state of the art ontology matching approaches. We describe the approaches according to instancebased,schema-based, instance and schema-based, usage-based, element-level, and structure-level. Theanalysis of the existing approaches will assist us in revealing some challenges in ontology mapping such ashandling ontology matching errors, user involvement and reusing previous match operations. We explainthe way of handling the challenges using new strategy in order to increase the performance
