Merkliste
Die Merkliste ist leer.
Der Warenkorb ist leer.
Kostenloser Versand möglich
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Model Driven Engineering and Ontology Development

BuchGebunden
Verkaufsrang42763in
CHF134.00

Beschreibung

Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. Part II presents the first detailed description of OMG's new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML.
Weitere Beschreibungen

Details

ISBN/GTIN978-3-642-00281-6
ProduktartBuch
EinbandGebunden
VerlagSpringer
Erscheinungsdatum18.05.2009
Auflage09002 A. 2nd ed. 2009
Seiten400 Seiten
SpracheEnglisch
MasseBreite 160 mm, Höhe 241 mm, Dicke 26 mm
Gewicht764 g
Artikel-Nr.1699317
Verlagsartikel-Nr.12622450
KatalogBuchzentrum
Datenquelle-Nr.4345191
Weitere Details

Autor

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.

Schlagworte