• DocumentCode
    2923020
  • Title

    Keyphrase extraction for Islamic Knowledge ontology

  • Author

    Saad, Saidah ; Salim, Naomie ; Omar, Nazlia

  • Author_Institution
    Department of Information System, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
  • Volume
    2
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes ongoing work on the evaluation methods for extraction keyword and keyphrase candidate in order to develop an ontology for Islamic Knowledge. Keyphrases provide semantic metadata that summarize, characterize documents and topic search. The task of automatic keyword and keyphrase extraction and also known as a collocation extraction is to select keywords or keyphrases from within the text of a given document. Automatic keywords or keyphrase extraction makes it feasible to generate keywords or keyphrases for the huge number of documents that do not have manually assigned them. This paper also describes an algorithm for extracting keyphrases from Islamic Knowledge text as a concept and attribute candidate. It identifies candidate keywords and keyphrases using lexico-syntactic method and statistical method.
  • Keywords
    Computer science; Data mining; Electronic mail; Frequency; Information science; Machine learning; Ontologies; Statistical analysis; Vocabulary; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ITSim 2008. International Symposium on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-2327-9
  • Electronic_ISBN
    978-1-4244-2328-6
  • Type

    conf

  • DOI
    10.1109/ITSIM.2008.4631711
  • Filename
    4631711