Approximate Structure-Preserving Semantic Matching

  • Authors:

  • Fausto Giunchiglia;Fiona Mcneill;Mikalai Yatskevich;Juan Pane;Paolo Besana;Pavel Shvaiko

  • Affiliations:

  • University of Trento, Povo, Trento, Italy;University of Edinburgh, Scotland;University of Trento, Povo, Trento, Italy;University of Trento, Povo, Trento, Italy;University of Edinburgh, Scotland;TasLab, Informatica Trentina, Italy

  • Venue:
  • OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
  • Year:
  • 2008

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Abstract

Typical ontology matching applications, such as ontology integration, focus on the computation of correspondences holding between the nodes of two graph-like structures, e.g., between concepts in two ontologies. However, for applications such as web service integration, we need to establish whether full graph structures correspond to one another globally, preserving certain structural properties of the graphs being considered. The goal of this paper is to provide a new matching operation, called structure-preserving semantic matching . This operation takes two graph-like structures and produces a set of correspondences, (i ) still preserving a set of structural properties of the graphs being matched, (ii ) only in the case if the graphs are globally similar to one another. Our approach is based on a formal theory of abstraction and on a tree edit distance measure. We have evaluated our solution in various settings. Empirical results show the efficiency and effectiveness of our approach.