Model Driven Engineering and Ontology Development

von: Dragan Ga#evic, Dragan Djuric, Vladan Deved#ic

Springer-Verlag, 2009

ISBN: 9783642002823 , 378 Seiten

2. Auflage

Format: PDF, OL

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX Apple iPad, Android Tablet PC's Online-Lesen für: Windows PC,Mac OSX,Linux

Preis: 79,72 EUR

Mehr zum Inhalt

Model Driven Engineering and Ontology Development


 

Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are unfamiliar with these. This book fills this gap by covering the subject of MDA application for ontology development on the Semantic Web. The writing is technical yet clear, and is illustrated with examples. The book is supported by a website.


Dragan Gasevic is an assistant professor in the School of Computing and Information Systems at Athabasca University in Canada and an Adjunct Professor at Simon Fraser University in Canada. He is a recipient of Alberta Ingenuity's 2008 New Faculty Award. His research interests include semantic technologies, software language engineering, and learning technologies.
Dragan Djuric is an assistant professor of computer science at the Department of Software Engineering, FON - School of Business Administration, University of Belgrade, Serbia. He is also a memeber of the GOOD OLD AI research group. His main research interests include software engineering, web engineering, intelligent systems, knowledge representation, ontologies and the Semantic Web.
Vladan Devedzic is a professor of computer science at the Department of Software Engineering, FON - School of Business Administration, University of Belgrade, Serbia. He is also the head of the GOOD OLD AI research group. His main research interests include software engineering, intelligent systems, knowledge representation, ontologies, Semantic Web, intelligent reasoning, and applications of artificial intelligence techniques to education and healthcare.