• DocumentCode
    660914
  • Title

    Knowledge Representation and Adaptation within Ontological Semantic Technology

  • Author

    Hempelmann, Christian F. ; Petrenko, Max

  • Author_Institution
    Dept. of Literature & Languages, Texas A&M Univ. - Commerce, Commerce, TX, USA
  • fYear
    2013
  • fDate
    16-18 Sept. 2013
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    The paper briefly discusses techniques of semi-automatic detection of outdated knowledge within the framework of Ontological Semantic Technology. Following an overview of the architecture and functionality of Ontological Semantic Technology, the paper illustrates, based on specific examples, how subsumption gaps are detected, and historical and evolving knowledge is incorporated into the ontology.
  • Keywords
    ontologies (artificial intelligence); evolving knowledge; historical knowledge; knowledge adaptation; knowledge representation; ontological semantic technology; semi-automatic knowledge detection; Conferences; Context; Diseases; Microorganisms; Ontologies; Semantics; Syntactics; Ontological Semantic Technology; adaptation; ontology; ontology evaluation; ontology learning; unattested input;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2013 IEEE Seventh International Conference on
  • Conference_Location
    Irvine, CA
  • Type

    conf

  • DOI
    10.1109/ICSC.2013.29
  • Filename
    6693504
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=660914