• DocumentCode
    3637223
  • Title

    Contextualized question answering

  • Author

    Luka Bradeško;Lorand Dali;Blaž Fortuna;Marko Grobelnik;Dunja Mladenić;Inna Novalija;Boštjan Pajntar

  • Author_Institution
    Jož
  • fYear
    2010
  • Firstpage
    73
  • Lastpage
    78
  • Abstract
    The paper proposes an approach to contextualized answering of questions. The contextualization is achieved by using an ontology. The answers are provided based on a domain specific document collection. The approach consists of several phases as follows: data preparation, data enhancement, data indexing and handling questions. The functioning of the proposed approach is demonstrated on English document collections on Aquatic Sciences and Fisheries - ASFA, using Cyc ontology, ASFA thesaurus as domain specific ontology and WordNet as general ontology. The approach is in general applicable to other datasets in other languages, assuming the necessary natural language processing is handled and the match between the document collection language, domain ontology language and Cyc ontology is ensured.
  • Keywords
    "Ontologies","Semantics","Data mining","Indexing","Thesauri","Natural languages"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces (ITI), 2010 32nd International Conference on
  • ISSN
    1330-1012
  • Print_ISBN
    978-1-4244-5732-8
  • Type

    conf

  • Filename
    5546368