PRE-PROCESSING ONTOLOGIES TO IMPROVE THE RESULTS OF MATCHERS

Ontology matching is one of the most important topics in many fields of semantic web research. The focus of ontology matching is on discovering semantic correspondence between entities of differently modelled ontologies of the same domain. Although there have been many efforts on developing ontology matching tools, the results of matching process is not appealing. In this paper, a new approach is proposed in order to get a better result from matching process. In this approach a pre-processing phase is added to matchers for analysing and modifying input ontologies. Refactoring rules are utilized on detected inappropriate patterns. Matching algorithms are then applied on the refactored ontologies. To evaluate our proposed approach two well-known matchers, RiMOM, and ASMOV, are used. Evaluation results show that our proposed approach improved the quality of the matching process with respect to standard evaluation measurements such as precision, recall, and F-measure.