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Experiments Varying Semantic Similarity Measures and Reference Ontologies for Ontology Alignment

  • Valerie Cross
  • Pramit Silwal
  • Xi Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7955)

Abstract

Semantic similarity measures within a reference ontology have been used in a few ontology alignment (OA) systems. Most use a single reference ontology, typically WordNet, and a single similarity measure within it. The mediating matcher with semantic similarity (MMSS) was added to AgreementMaker to incorporate the selection of a semantic similarity measure and the combination of multiple reference ontologies in an adaptable fashion. The results of experiments using the MMSS on the anatomy track of the Ontology Alignment Evaluation Initiative (OAEI) are reported. A variety of semantic similarity measures are applied within multiple reference ontologies. Using multiple reference ontologies with the MMSS improved alignment results. All information-content based semantic similarity measures produced better alignment results than a path-based semantic similarity measure.

Keywords

Semantic Similarity Correct Mapping Linear Weighted Combination Ontology Match Semantic Similarity Measure 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Valerie Cross
    • 1
  • Pramit Silwal
    • 1
  • Xi Chen
    • 1
  1. 1.Computer Science and Software Engineering DepartmentMiami UniversityOxfordUSA

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