• DocumentCode
    189021
  • Title

    Towards Ontology Construction from Arabic Texts-A Proposed Framework

  • Author

    Al Arfaj, Abeer ; Al Salman, Abdulmalik

  • Author_Institution
    Comput. Sci. Dept., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2014
  • fDate
    11-13 Sept. 2014
  • Firstpage
    737
  • Lastpage
    742
  • Abstract
    Ontology is one of the most popular representation model used for knowledge representation, sharing and reusing. In light of the importance of ontology, different methodologies for building ontologies have been proposed. Ontology construction is a difficult and time-consuming process. Many efforts have been made to help ontology engineers to construct ontologies and to overcome the bottleneck of knowledge acquisition. But the majority of these methods have focused on the English language. There is a huge amount of information and knowledge in Arabic documents. So, there is a dispirit need for building Arabic ontology. In this paper, we propose a framework for ontology construction from Arabic texts based on The Holy Hadith (Sayings of the Prophet Mohammed). We also summarize the state of the art in Arabic ontology construction. The challenges facing ontology engineers in constructing ontology from Arabic texts and the way these challenges might be solved is discussed.
  • Keywords
    knowledge acquisition; natural language processing; ontologies (artificial intelligence); Arabic Text; Arabic document; Arabic ontology; English language; The Holy Hadith; knowledge acquisition; knowledge representation; ontology construction; Buildings; Computational modeling; Data mining; Ontologies; Pragmatics; Semantic Web; Semantics; Arabic Language; Arabic Ontology; Concept discovery; Ontology learning; Semantic relation extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2014 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/CIT.2014.89
  • Filename
    6984743