Automated weighted aggregation in an ontology matching system. (14th August 2012)

• Record Type: Journal Article
• Authors: Gulić, Marko; Magdalenić, Ivan; Vrdoljak, Boris
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 7:Number 1(2012)
• Page Start: 55
• Page End: 64
• Publication Date: 2012-08-14
• Subjects: ontology matching -- parallel matching systems -- weighted aggregation -- ontology integration; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

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.