Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
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.
Gaševic 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.
This book is for those who want to be informed of the relevant technological landscape, to practitioners, and to researchers. The writing is t
Content Level »Research
Keywords »Ontology Definition Metamodel - UML - XML - artificial intelligence - description logic - development - knowledge - knowledge representation - language - modeling - ontology - semantic web - software - software engineering - standards
Basics.- Knowledge Representation.- Ontologies.- The Semantic Web.- The Model Driven Architecture (MDA).- Modeling Spaces.- The Model Driven Architecture 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.- Using UML Tools for Ontology Modeling.- An MDA Based Ontology Platform: AIR.- Examples of Ontology.