اسم الباحث :
Suad Mohammed Othman Dr.Fadl M. Ba-Alwi Ph.D
Abstract Due to an increased use of ontology applications in different communities a growing number of ontologies are created by different organizations and individuals. Further, ontology users or developers want to integrate or use other ontologies to solve the problem. Furthermore user or developers want to find the correspondences between concepts in multiple ontologies. However the heterogeneous of data makes integrate and use multi ontologies not efficient. Ontology mapping is required for combining distributed and heterogeneous ontologies. Ontology mapping is important for different domains such as semantic web, data integration, information exchange, data warehousing and information retrieval to solve problems of heterogeneous data. In this paper we aim to compare between three approaches: KSMS, HSOMap and fuzzy ontology mapping systems based on some criteria's such as Matching techniques and aggregation techniques. This study displays the review of three approaches to help us to select the best approach for ontology mapping.
سنة النشر :
2017
ملخص البحث :
