• DocumentCode
    3192376
  • Title

    Measuring information content for an ontological concept

  • Author

    Cross, Valerie ; Chennai-Thiagarajan, Anurekha

  • Author_Institution
    Comput. Sci. & Software Eng., Miami Univ., Oxford, OH, USA
  • fYear
    2012
  • fDate
    6-8 Aug. 2012
  • Firstpage
    1
  • Lastpage
    6
  • 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. One category of such measures uses a measure of information content (IC) for ontological concepts. The various approaches to determining IC measures are reviewed. The early corpus-based IC measure is first presented and its weakness discussed. Then the earliest ontology-based IC measure using decedents only is described followed by the two more recent proposals that attempt to improve on the original descendents only ontology-based IC measure. These three IC measures are then analyzed and critiqued based on the assumptions made during their construction. Analysis of the strengths and weakness of the three proposed IC measures suggest intuitive principles to be followed in construction of other IC measures.
  • Keywords
    information management; ontologies (artificial intelligence); corpus-based IC measure; information content measurement; ontological concept; ontology-based IC measure; semantic similarity measures; Benchmark testing; Biomedical measurements; Correlation; Integrated circuits; Ontologies; Semantics; Standards; corpus-based information content; ontological similarity; ontology-based information content; semantic similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
  • Conference_Location
    Berkeley, CA
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-2336-9
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2012.6291016
  • Filename
    6291016