In the past few years, software engineering has witnessed two major shifts: model-driven engineering has entered the mainstream, and some leading development tools have become open and extensible.1 AI has always been a spring of new ideas that have been adopted in software engineering, but most of its gems have stayed buried in laboratories, available only to a limited number of AI practitioners. Should AI tools be integrated into mainstream tools and could it be done? We think that it is feasible, and that both communities can benefit from this integration. In fact, some efforts in this direction have already been made, both by major industrial standardization bodies such as the OMG, and by academic laboratories.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Portions of this chapter have been reprinted with minor changes, with permission, from Djurić et al. (2007) ©2007 IEEE.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Gaševic, D., Djuric, D., Devedžic, V. (2009). An MDA Based Ontology Platform: AIR. In: Model Driven Engineering and Ontology Development. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00282-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-00282-3_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00281-6
Online ISBN: 978-3-642-00282-3
eBook Packages: Computer ScienceComputer Science (R0)