XMap : Results for OAEI 2015
Warith Eddine Djeddi, Mohamed Tarek Khadir, Sadok Ben Yahia · 2014
Abstract. In this paper, we present the results obtained by our ontology match-ing system XMap++ within the OAEI 2014 campaign. XMap++ is a scalable ontology alignment tools capable of matching large scale ontology. This is our second participation in the OAEI, and we can see an overall improvement on nearly every task. 1 State, purpose, general statement XMap (eXtensible Mapping) is an ontology alignment tool for the alignment of OWL entities (i.e., classes, object properties and data properties). XMap++ approach uses different similarity measures of different categories such as string, linguistic, and struc-tural based similarity measures to understand ontologies semantics. A weights vector must, therefore, be assigned to these similarity measures, if a more accurate and mean-ingful alignment result is favored. Combining multiple measures into a single similarity metric has been solved using weights determined by intelligent strategies [3]. The major drawback of our two previous versions XMapGen and XMapSig [2], despite the fact that they achieved fair results and the aim of their development is to