• DocumentCode
    2082547
  • Title

    Using an ontology to improve search in a terrorism database system

  • Author

    Gruenwald, Le ; McNutt, Gary ; Mercier, Adrien

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Oklahom, Norman, OK, USA
  • fYear
    2003
  • fDate
    1-5 Sept. 2003
  • Firstpage
    753
  • Lastpage
    757
  • Abstract
    In this paper, we present our implementation of a Terrorism Database System and show how to leverage the expressive power of an ontology to improve search and document retrieval by extending the knowledge base of Oracle Text. We begin with a brief introduction to our Terrorism Database System, now in production. Then we describe the structure of the ontology, the interface for knowledge workers to add/edit/delete the content of the ontology, and the techniques for semi-automatic term generation as well as semantic content resolution when classifying documents.
  • Keywords
    database management systems; information retrieval; meta data; Oracle text; database; document classification; document retrieval; interface; ontology; search; semantic content resolution; semi-automatic term generation; terrorism database system; Computer science; Database systems; Information retrieval; Intrusion detection; Ontologies; Production systems; Sun; Terrorism; Thesauri; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-1993-8
  • Type

    conf

  • DOI
    10.1109/DEXA.2003.1232111
  • Filename
    1232111