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AuthorGasmi, Houssem
AuthorBouras, Abdelaziz
Available date2020-08-20T08:06:22Z
Publication Date2017
Publication NameIEEE Access
ResourceScopus
ISSN21693536
URIhttp://dx.doi.org/10.1109/ACCESS.2017.2778879
URIhttp://hdl.handle.net/10576/15713
AbstractAs the main supplier of the workforce to the industry, higher education is increasingly criticized for not being abreast with the digital revolution and being disconnected from the industry. Competency-based education was developed to address this issue and bridge the gap between what the university is producing and the requirements of the industry. Hence, tools need to be developed that assists in the analysis process. This paper focuses on proposing a system that models the competencies required by occupations in the industry and higher education curricula and assists in matching profiles from the two domains. The different concepts in the domain are modeled as a semantic web ontology, and an inference engine performs the profile matching. In addition to the profile matching, the system calculates a score for the matching degree using the analytic hierarchy process (AHP) method. 2013 IEEE.
SponsorThis work was supported by the Qatar National Research Fund (a member of Qatar Foundation) NPRP under Grant NPRP 7-1883-5-289.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCompetency model
matching system
ontology
profile matching
TitleOntology-Based Education/Industry Collaboration System
TypeArticle
Pagination1362-1371
Volume Number6
dc.accessType Open Access


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