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
Link To Document :
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