Polygon-Based Similarity Aggregation for Ontology Matching

  • Authors:
  • Feiyu Lin;Kurt Sandkuhl

  • Affiliations:
  • School of Engineering, Jönköping Universiy, Gjuterigatan 5, 551 11 Jönköping, Sweden;School of Engineering, Jönköping Universiy, Gjuterigatan 5, 551 11 Jönköping, Sweden

  • Venue:
  • ISPA '07 Proceedings of the SSDSN, UPWN, WISH, SGC, ParDMCom, HiPCoMB, and IST-AWSN international workshops held at ISPA 2007 on Frontiers of High Performance Computing and Networking
  • Year:
  • 2007

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Abstract

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. In this paper, we extend previous work on ontology matching using polygon-based similarity aggregation. The main ideas we contribute to the research field are (1) an improved approach 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.