• DocumentCode
    3165687
  • Title

    Semantic similarity measures in ontology alignment

  • Author

    Cross, V.V. ; Silwal, P. ; Xi Chen

  • Author_Institution
    Comput. Sci. & Software Eng. Dept., Miami Univ., Oxford, OH, USA
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    442
  • Lastpage
    447
  • Abstract
    Numerous ontological or semantic similarity measures have been proposed to determine how similar one concept is to another within the context of an ontology. These measures are shown to have as their basis fuzzy set compatibility measures and have been used in a variety of biomedical and bioinformatics applications. In this paper a new matcher, the mediating matcher with semantic similarity (MMSS), has been designed in an adaptable manner and added to an existing OA system. Experiments are performed to compare the performance of several semantic similarity measures with different domain reference ontologies when used in the task of ontology alignment.
  • Keywords
    fuzzy set theory; ontologies (artificial intelligence); pattern matching; MMSS; OA system; bioinformatics applications; biomedical applications; domain reference ontologies; fuzzy set compatibility measures; mediating matcher with semantic similarity; ontology alignment; ontology context; semantic similarity measures; Biomedical measurement; Bridges; Current measurement; Integrated circuits; Ontologies; Semantics; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
  • Conference_Location
    Edmonton, AB
  • Type

    conf

  • DOI
    10.1109/IFSA-NAFIPS.2013.6608441
  • Filename
    6608441