Ontology matching performance improvement using DTW

Abstract

Ontology is one important method by which data is expressed in Semantic Web. For Semantic Web based on ontology, it is important to produce ontology of various domains, but for sharing and expanding ontology, ontology matching work is very important. Using only possessed information of concept in ontology matching has limitation. Therefore, in recent studies, using relationship between concepts, that is, structural information, precision can be being raised. For this, if we use structure-based ontology matching method, its precision can be increased much, but because its complexity metric is quite high, it is difficult to implement this method in large sized ontology. In this study, to decrease complexity metric, a technique with which structural information is changed into sequential information and a DTW algorithm application on ontology matching have been suggested. Also, it has been proved through testing that by implementing the method which has been suggested in this study, the performance of existing multi strategic systems can be improved.