• DocumentCode
    3228798
  • Title

    Automated Concept Discovery from Web Resources

  • Author

    Dittenbach, Michael ; Berger, Helmut ; Merkl, Dieter

  • Author_Institution
    iSpaces Res. Group, E-Commerce Competence Center, Wien
  • fYear
    2006
  • fDate
    18-22 Dec. 2006
  • Firstpage
    309
  • Lastpage
    312
  • Abstract
    The task of researching information on a particular topic using the Web is mainly accomplished by using keyword-based search engines. Although this approach provides a good starting point, it remains a tedious task to collect additional information that puts this topic in greater context. In this paper we present ConceptWorld, an instrument to automatically discover various facets of a topic of interest by extracting concepts from Web documents. The result materializes as a network of semantic concepts with their various contextual interrelations and provides a holistic view on the topic of interest
  • Keywords
    Internet; data structures; directed graphs; document handling; information retrieval; search engines; ConceptWorld; Web document concept extraction; Web resources; automated concept discovery; keyword-based search engine; semantic concept network; Alzheimer´s disease; Automation; Data mining; Instruments; Multiple sclerosis; Natural languages; Search engines; Semantic Web; Web pages; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2747-7
  • Type

    conf

  • DOI
    10.1109/WI.2006.45
  • Filename
    4061383