Mix’n’Match: An Alternative Approach for Combining Ontology Matchers

(Short Paper)
  • Simon Steyskal
  • Axel Polleres
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8185)


The existence of a standardized ontology alignment format promoted by the Ontology Alignment Evaluation Initiative (OAEI) potentially enables different ontology matchers to be combined and used together. Along these lines, we present a novel architecture for combining ontology matchers based on iterative calls of off-the-shelf matchers that exchange information in the form of reference mappings in this standard alignment format. However, we argue that only a few of the matchers contesting in the past years’ OAEI campaigns actually allow the provision of reference alignments to support the matching process. We bypass this lacking functionality by introducing an alternative approach for aligning results of different ontology matchers using simple URI replacement in the aligned ontologies. We experimentally prove that our iterative approach benefits from this emulation of reference alignments.


Majority Vote Match Process Result Aggregation Reference Alignment Ontology Matcher 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Simon Steyskal
    • 1
    • 2
  • Axel Polleres
    • 1
  1. 1.Siemens AGViennaAustria
  2. 2.Vienna University of TechnologyViennaAustria

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