Dragan Gasevic

Dragan Gasevic is a Canada Research Chair in Semantic Technologies and an assistant professor in the School of Computing and Information Systems at Athabasca University. He is also an adjunct professor in the School of Interactive Arts and Technology at Simon Fraser University, Surrey. His research interests include semantic technologies, software language engineering, technology-enhanced learning, and service-oriented architectures. He is a recipient of Alberta Ingenuity’s 2008 New Faculty Award and has been a principle investigator of several large scale research projects in Canada and Europe. He has (co-)authored more than 200 research papers. He is the lead author of the book monograph entitled Model Driven Engineering and Ontology Development whose second edition is published by Springer in 2009. He has been serving on editorial boards of five international journals and has edited special issues in journals such as IET Software, IEEE Transactions on Software Engineering, and Elsevier’s Information Systems. Being organizer, chair, and member of program committees of many international conferences and workshops, he is currently serving on the steering committee of the International Conference on Software Language Engineering. Dragan’s home page is available at http://dgasevic.athabascau.ca/.

Publications

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET)
International Journal of Service Science, Management, Engineering, and Technology (IJSSMET)
Ahmad Taher Azar, Ghazy Assassa. Est. 2010.
The International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) stands as a beacon of scholarly excellence in the world of research and...
Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
Adrian Giurca, Dragan Gasevic, Kuldar Taveter. © 2009. 862 pages.
Selecting an appropriate rules-based engine requires balancing many different, and often, not well-understood properties such as business rules representation methods, rule...
Modeling of Web Services using Reaction Rules
Modeling of Web Services using Reaction Rules
Marko Ribaric, Shahin Sheidaei, Milan Milanovic, Dragan Gasevic, Adrian Giurca, Sergey Lukichev. © 2009. 25 pages.
The development process of Web services needs to focus on the modeling of business processes rather than on low-level implementation details of Web services, and yet it also...
Sharing Ontologies and Rules Using Model Transformations
Sharing Ontologies and Rules Using Model Transformations
Milan Milanovic, Dragan Djuric, Dragan Gasevic, Vladan Devedzic. © 2009. 22 pages.
Web Ontology Language (OWL), Semantic Web Rule Language (SWRL) and Model-Driven Engineering (MDE) are technologies being developed in parallel, but by different communities. They...
Mapping Policies to Web Rules: A Case of the KAoS Policy Language
Mapping Policies to Web Rules: A Case of the KAoS Policy Language
Nima Kaviani, Dragan Gasevic, Marek Hatala. © 2009. 32 pages.
Web rule languages have recently emerged to enable different parties with different business rules and policy languages to exchange their rules and policies. Describing the...
Technology Enhanced Learning: Best Practices
Technology Enhanced Learning: Best Practices
Miltiadis D. Lytras, Dragan Gasevic, Patricia Ordóñez de Pablos, Weihong Huang. © 2008. 404 pages.
With the shift towards the knowledge society, the change of working conditions, and the high-speed evolution of information and communication technologies, peoples' knowledge...
Ontology-Based Automatic Annotation of Learning Content
Ontology-Based Automatic Annotation of Learning Content
Jelena Jovanovic, Dragan Gasevic, Vladan Devedzic. © 2006. 29 pages.
This paper presents an ontology-based approach to automatic annotation of learning objects’ (LOs) content units that we tested in TANGRAM, an integrated learning environment for...
Classroom for the Semantic Web
Classroom for the Semantic Web
Goran Shimic, Dragan Gasevic, Vladan Devedzic. © 2005. 33 pages.
This chapter emphasizes integration of Semantic Web technologies in intelligent learning systems by giving a proposal for an intelligent learning management system (ILMS)...