OMeGA: Ontology Matching enhanced by Genetic Algorithm

سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 776

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شناسه ملی سند علمی:

IRANWEB02_034

تاریخ نمایه سازی: 9 مرداد 1395

چکیده مقاله:

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.

نویسندگان

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