Modeling ontologies as executable domain specific languages
Proceedings of the 3rd India software engineering conference
Ontology engineering aspects in the intelligent systems development
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
An ontology driven approach to software project enactment with a supplier
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Short communication: Reasoning with part-part relations in a description logic
Knowledge-Based Systems
Title model ontology for future internet networks
The future internet
Compositional Bayesian modelling for computation of evidence collection strategies
Applied Intelligence
OntoFIS as a NLP resource in the drug-therapy domain: design issues and solutions applied
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Journal of Systems and Software
Model-driven engineering techniques for the development of multi-agent systems
Engineering Applications of Artificial Intelligence
Realizing Model Transformation Chain interoperability
Software and Systems Modeling (SoSyM)
Development of Electronic Architectures for Safety-Related Functions
Software—Practice & Experience
The transformation of surgery patient care with a clinical research information system
Expert Systems with Applications: An International Journal
Towards multi-cloud configurations using feature models and ontologies
Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds
Towards an integrated service-oriented reference enterprise architecture
Proceedings of the 2013 International Workshop on Ecosystem Architectures
Automatic data transformation: breaching the walled gardens of social network platforms
APCCM '13 Proceedings of the Ninth Asia-Pacific Conference on Conceptual Modelling - Volume 143
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Defining a formal domain ontology is generally 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 largely unfamiliar with these. Gaevic and his co-authors try to fill this gap by covering the subject of MDA application for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMGs new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. The book is supported by a website showing many ontologies, UML and other MDA-based models, and the transformations between them. "The book is equally suited to those who merely want to be informed of the relevant technological landscape, to practitioners dealing with concrete problems, and to researchers seeking pointers to potentially fruitful areas of research. The writing is technical yet clear and accessible, illustrated throughout with useful and easily digestible examples." from the Foreword by Bran Selic, IBM Rational Software, Canada. "I do not know another book that offers such a high quality insight into UML and ontologies." Steffen Staab, U Koblenz, Germany