OMeGA: Ontology Matching enhanced by Genetic Algorithm
Publish place: The Second International Conference on Web research
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IRANWEB02_034
تاریخ نمایه سازی: 9 مرداد 1395
Abstract:
In this paper, we propose a new ontology matching approach, OMeGA, based on genetic algorithms applied on the graph structure of ontologies. Our approach finds the linguistic-structural similarities between concepts in two ontologies. It introduces new fitness functions and new criteria for categorizing test cases into four categories. Our approach does not need any extra information or resource with exception to the ontology itself. Experimental results on applying OMeGA on defined cases show higher performance compared to existing method.
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Authors
Mehrnoush Shamsfard
Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
Behzad Helli
Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran
Samira Babalou
Department of Computer Engineering, Faculty of Engineering, University of Science and Culture, Tehran, Iran