• DocumentCode
    2429794
  • Title

    Combining ontologies and document retrieval techniques: a case study for an e-learning scenario

  • Author

    Baumann, Stephan ; Dengel, Andreas ; Junker, Markus ; Kieninger, Thomas

  • Author_Institution
    German Res. Center for Artificial Intelligence, DFKI GmbH, Kaiserslautern, Germany
  • fYear
    2002
  • fDate
    2-6 Sept. 2002
  • Firstpage
    133
  • Lastpage
    137
  • Abstract
    Ontologies are a perfect knowledge base for enriching standard document retrieval and classification techniques. In this paper we describe such an approach for the application of e-learning. We choose a basic combination of ontologies, some simple heuristics and classic term, resp. document similarity measure to deliver the required functionality. Our system has a distributed architecture handling the linkage to a database-driven document management system with browser-suited output. First results are presented showing the advantages of automatic generation of queries based on ontologies.
  • Keywords
    client-server systems; computer aided instruction; document handling; knowledge engineering; query processing; automatic query generation; browser-suited output; database-driven document management system; distributed architecture; document classification; document retrieval; document similarity measure; e-learning; heuristics; knowledge base; ontologies; Artificial intelligence; Computer aided software engineering; Couplings; Distributed databases; Document handling; Electronic learning; Information retrieval; Ontologies; Prototypes; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-1668-8
  • Type

    conf

  • DOI
    10.1109/DEXA.2002.1045888
  • Filename
    1045888