Rough Ontology Mapping in E-Business Integration

Ontology mapping represents a promising technique in E-business integration, agent communication and web services. Similarity measure plays an important role in ontology mapping. Investigations show that a multi-similarity measure usually gives a higher quality mapping results introduction to the background knowledge of formal concept analysis, ontology mapping and similarity measure. A hybrid similarity measure based on rough formal concept analysis is then introduced. Based on Tversky’s similarity model, the proposed measure combines rough set theory and formal concept analysis to calculate the similarity of the concept nodes from two ontologies. In this sense, the measure is both featural and structural. An example of the case study shows the applicability of our proposed similarity measure.