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.
Ga evic 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 OMG s 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"
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