• DocumentCode
    3635034
  • Title

    Ontology key concepts interpretation

  • Author

    J. Vrana;M. Mach

  • Author_Institution
    Dept. of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical, University, Kosice, Slovakia
  • fYear
    2010
  • Firstpage
    215
  • Lastpage
    219
  • Abstract
    Semantic Web has reached the point where basic research is supposed to be replaced (at least partially) by research aiming at practical aspects of using the Semantic Web. Ontologies, as the essential technology in this area, have been under the spot light which produced some results, e.g. the Semantic Web Search engines like Watson, Swoogle etc. These help in finding and locating semantic information on the Web. However, they do not support users to quickly understand what an ontology is about, what information it contains. We argue in this paper that vector description, as a snapshot of data comprised by ontologies, may help while understanding of particular ontology. In other words, instead of depicting a whole ontology all together, we prefer reduction of information given and therefore avoid users being overwhelmed and thus help with orienting in a wide offering of ontologies on the web.
  • Keywords
    "Ontologies","Semantic Web","Informatics","Machine intelligence","Cybernetics","Artificial intelligence","Search engines","Knowledge management","Spine","Decision making"
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2010 IEEE 8th International Symposium on
  • Print_ISBN
    978-1-4244-6422-7
  • Type

    conf

  • DOI
    10.1109/SAMI.2010.5423736
  • Filename
    5423736