Title: Automated weighted aggregation in an ontology matching system

Authors: Marko Gulić; Ivan Magdalenić; Boris Vrdoljak

Addresses: Faculty of Maritime Studies, University of Rijeka, Studentska 2, Rijeka 51000, Croatia ' Faculty of Organisation and Informatics, University of Zagreb, Pavlinska 2, 42000 Varaždin, Croatia ' Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia

Abstract: Ontology matching is the process of finding semantic relationships between entities of different ontologies. It plays an important role in the integration of heterogeneous data sources. To find semantic correspondences between entities, various matchers can be used. When multiple matchers are integrated into a matching system, the issue of combining these matchers together and determining the importance of every basic matcher arises. In a parallel composition of basic matchers, several matchers are used independently and then their results are aggregated. In this paper, we propose a method for automatically determining weights of basic matchers in their parallel composition and the architecture of the matching system. An evaluation of the method is performed on case study examples concerning the matching of four ontology pairs and a comparison with other aggregation methods is given. Additionally, the architecture of the matching system based on our automatic weighted aggregation method is presented.

Keywords: ontology matching; parallel matching systems; weighted aggregation; ontology integration; semantic relationships.

DOI: 10.1504/IJMSO.2012.048510

International Journal of Metadata, Semantics and Ontologies, 2012 Vol.7 No.1, pp.55 - 64

Received: 17 Dec 2011
Accepted: 26 Jan 2012
Published online: 31 Dec 2014 *

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