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Model Driven Engineering and Ontology Development

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Erschienen am 12.06.2009, Auflage: 2/2009
111,95 €
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ISBN/EAN: 9783642002823
Sprache: Englisch
Umfang: 378 S., 15.06 MB
E-Book
Format: PDF
DRM: Digitales Wasserzeichen

Beschreibung

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.

Autorenportrait

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.

Inhalt

Basics.- Knowledge Representation.- Ontologies.- The Semantic Web.- Model Driven Engineering.- Modeling Spaces.- Model Driven Engineering and Ontologies.- Software Engineering Approaches to Ontology Development.- The MDA-Based Ontology Infrastructure.- The Ontology Definition Metamodel (ODM).- The Ontology UML Profile.- Mappings of MDA-Based Languages and Ontologies.- Applications.- Modeling Tools and Ontology Development.- An MDA Based Ontology Platform: AIR.- Examples of Ontology.- Beyond the Ontology Definition Metamodel: Applications.

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