Ontology-driven development of intelligent educational systems

Gordon Deline, Fuhua Lin, Dunwei Wen, Dragan Gašević, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Conference Proceedings, PACRIM
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages34-37
Number of pages4
ISBN (Print)1424411904, 9781424411900
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM - Victoria, BC, Canada
Duration: 22 Aug 200724 Aug 2007

Conference

Conference2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM
CountryCanada
CityVictoria, BC
Period22/08/0724/08/07

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