A Design and Input-specific Classification Framework of Ontology Matching Techniques

Nelson K.Y.Leung, Lecturer, Business Information Systems, RMIT International University Vietman. Email: nelson.leung@rmit.edu.vn

Sim Kim Lau, Senior Lecturer, School of Information Systems and Technology, University of Wollongong. Email: simlau@uow.edu.au

Joshua Fan, Senior Lecturer, Graduate School of Business, University of Wollongong. Email: joshua@uow.edu.au

Keywords

Ontology Matching, Ontology Mediation, Ontology Classification

Abstract

Ontology matching can be defined as the process of discovering similarities between two ontologies and it can be processed exploiting a number of different techniques. To provide a common conceptual basis, researchers have started to develop classifications to distinguish them. The most significant one is the classification proposed by Shvaiko and Euzenat to compare different existing ontology mediation systems as well as to design a new one. Although the classification is developed conscientiously, there are still some improper identifications and vague categories. Thus, a design and input-specific classification framework of ontology matching techniques that consists of executive approach, basic technique and input layers is proposed to address the above problems based on the findings of the literature survey. The framework provides not only a clear guideline on designing new mediation tool in accordance with the relationships among the three different layers but also an effective method to identify the type of the matching technique and its related executive approach simply by comparing input of mediation system with the input layer in the proposed framework.