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TOWARDS POLYGON-BASED SIMILARITY AGGREGATION IN ONTOLOGY MATCHING
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
2007 (English)In: 3rd International Conference on Web Information Systems and Technologies (WEBIST 2007), 2007Conference paper, Published paper (Other scientific)
Abstract [en]

Due to an increased awareness of potential ontology applications in industry, public administration and academia, a growing number of ontologies are created by different organizations and individuals. Although these ontologies are developed for various application purposes and areas, they often contain overlapping information. In this context, it is necessary to find ways to integrate various ontologies and enable use of multiple ontologies. A number of concepts and approaches for ontology alignment and matching have been developed in this field. In this paper, we introduce our preliminary work on ontology matching using polygon-based similarity aggregation. The main ideas we contribute to the research field are (1) to aggregate the results of distance calculations between concepts in different ontologies by creating polygons for each ontology and (2) to compare the area of these polygons for deciding on similarity.

Place, publisher, year, edition, pages
2007.
Keywords [en]
Polygon, similarity, aggregation, ontology matching
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-2338OAI: oai:DiVA.org:hj-2338DiVA, id: diva2:33158
Available from: 2007-08-03 Created: 2007-08-03 Last updated: 2018-01-12

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Lin, FeiyuSandkuhl, Kurt

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