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Published in:
2015 | OriginalPaper | Chapter
Fuzzy Inference-Based Ontology Matching Using Upper Ontology
Authors : S. Hashem Davarpanah, Alsayed Algergawy, Samira Babalou
Published in: New Trends in Databases and Information Systems
Publisher: Springer International Publishing
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Bio-ontologies are characterized by large sizes, and there is a large number of smaller ontologies derived from them. Determining semantic correspondences across these smaller ones can be based on this “upper” ontology. To this end, we introduce a new fuzzy inference-based ontology matching approach exploiting upper ontologies as semantic bridges in the matching process. The approach comprises two main steps: first, a fuzzy inference-based matching method is used to determine the confidence values in the ontology matching process. To learn the fuzzy system parameters and to enhance the adaptability of fuzzy membership function parameters, we exploit a gradient discriminate learning technique. Second, the achieved results are then composed and combined to derive the final match result. The experimental results show that the performance of the proposed approach compared to one of the famous benchmark research is acceptable.