TY - GEN
T1 - Ontology-driven development of intelligent educational systems
AU - Deline, Gordon
AU - Lin, Fuhua
AU - Wen, Dunwei
AU - Gašević, Dragan
AU - Kinshuk,
PY - 2007
Y1 - 2007
N2 - Despite the opportunities to improve software development though the use of ontologies, there have been few reports giving guidelines for developing such systems based on real case studies. This paper explores what approach to Ontology-driven Software Development (ODD) would be suited for the development of intelligent educational systems such as Athabasca University's eAdvisor - an intelligent academic advising system. With the goal of exploiting synergies with proven software engineering practices to meet the needs of both those who develop the system and those who govern projects, baseline processes for ODD of eAdvisor have been developed. Initial analysis of the feasibility of these baseline processes from performance and complexity viewpoints took place using qualitative analysis of focused interviews. ODD is especially appropriate for the development of intelligent systems with an ontology-based architecture and can leverage familiar and proven software engineering tools and techniques.
AB - Despite the opportunities to improve software development though the use of ontologies, there have been few reports giving guidelines for developing such systems based on real case studies. This paper explores what approach to Ontology-driven Software Development (ODD) would be suited for the development of intelligent educational systems such as Athabasca University's eAdvisor - an intelligent academic advising system. With the goal of exploiting synergies with proven software engineering practices to meet the needs of both those who develop the system and those who govern projects, baseline processes for ODD of eAdvisor have been developed. Initial analysis of the feasibility of these baseline processes from performance and complexity viewpoints took place using qualitative analysis of focused interviews. ODD is especially appropriate for the development of intelligent systems with an ontology-based architecture and can leverage familiar and proven software engineering tools and techniques.
UR - http://www.scopus.com/inward/record.url?scp=47349086503&partnerID=8YFLogxK
U2 - 10.1109/PACRIM.2007.4313170
DO - 10.1109/PACRIM.2007.4313170
M3 - Published Conference contribution
AN - SCOPUS:47349086503
SN - 1424411904
SN - 9781424411900
T3 - IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings
SP - 34
EP - 37
BT - 2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Conference Proceedings, PACRIM
T2 - 2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM
Y2 - 22 August 2007 through 24 August 2007
ER -