شماره ركورد كنفرانس
4230
عنوان مقاله
OMeGA: Ontology Matching enhanced by Genetic Algorithm
پديدآورندگان
Shamsfard Mehrnoush m-shams@sbu.ac.ir Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran; , Helli Behzad Behzad_helli@yahoo.com Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran; , Babalou Samira Samira_Babalou@yahoo.com Department of Computer Engineering, Faculty of Engineering, University of Science and Culture, Tehran, Iran;
تعداد صفحه
7
كليدواژه
Ontology matching , genetic algorithms , graph theory.
سال انتشار
1395
عنوان كنفرانس
كنفرانس بين المللي وب پژوهي
زبان مدرك
انگليسي
چكيده فارسي
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.
كشور
ايران
لينک به اين مدرک