• DocumentCode
    3174734
  • Title

    Empirical approach in ontology engineering: An assessment on novice modelers

  • Author

    Osman, N.A. ; Ho, Sin-Ban ; Haw, Su-Cheng

  • Author_Institution
    Fac. of Inf. Technol., Multimedia Univ., Cyberjaya, Malaysia
  • fYear
    2011
  • fDate
    13-14 Dec. 2011
  • Firstpage
    501
  • Lastpage
    507
  • Abstract
    In software engineering, one of the process improvement methods is through empirical studies. We compare several empirical studies on ontology engineering to discuss potential empirical works on our domain of interest, namely the learning process improvement. Subsequently, we conduct an assessment on novice modelers to determine the effects of ontology on subjects´ learning process. The p-values indicate that there is a significant difference between the group that is provided with ontology (ontology group) and the group that is not (control group). Furthermore, the mean scores for comprehensiveness and confidence in the ontology group are slightly higher than in the control group. We conclude that the use of ontology may positively contribute to the learning process especially with the learners involved in the ontology engineering process.
  • Keywords
    ontologies (artificial intelligence); software process improvement; learning process improvement; ontology engineering; ontology group; process improvement method; software engineering; Biomedical measurements; Complexity theory; Databases; Ontologies; Software engineering; empirical software engineering; learning process improvement; ontology; ontology engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (MySEC), 2011 5th Malaysian Conference in
  • Conference_Location
    Johor Bahru
  • Print_ISBN
    978-1-4577-1530-3
  • Type

    conf

  • DOI
    10.1109/MySEC.2011.6140724
  • Filename
    6140724