• DocumentCode
    3240406
  • Title

    Ontology structure comparison

  • Author

    Ismail, Khairul Nurmazianna ; Bakar, Z.A.

  • Author_Institution
    Fac. of Comput. & Math. Sci., Dept. of Comput. Sci., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia
  • fYear
    2013
  • fDate
    2-4 Dec. 2013
  • Firstpage
    148
  • Lastpage
    151
  • Abstract
    Ontology has essential role in Semantic Web realization. Ontology development can be categorized as manual, semi-automatic and automatic. In this paper, we are going to investigate which category is the best approach in the ontology development. Therefore we compared between the ontology structures produce by manual ontology development with automatic ontology development. The comparison is done based on the concept and instance of the ontology structure. During the experiment, we use DuriO which constructed previously by using manual approach. Meanwhile for automatic approach, we use Text2Onto. Then from both approaches, the structures were extracted and bar charts are presented to show the difference. As the result, the ontology structure produced by using manual approach is aligned as expected with domain knowledge. Whereas, the ontology structure produced by using automatic ontology development contain excessive unrelated terms.
  • Keywords
    bar charts; ontologies (artificial intelligence); semantic Web; DuriO; Text2Onto; automatic ontology development; bar charts; domain knowledge; excessive unrelated terms; manual ontology development; ontology structures; semantic Web; Conferences; Electronic learning; HTML; Knowledge acquisition; Manuals; Ontologies; Semantic Web; DuriO; Text2Onto; ontology; semantic web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Learning, e-Management and e-Services (IC3e), 2013 IEEE Conference on
  • Conference_Location
    Kucing
  • Print_ISBN
    978-1-4799-1573-6
  • Type

    conf

  • DOI
    10.1109/IC3e.2013.6735982
  • Filename
    6735982