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Model Driven Engineering and Ontology Development

2nd Edition

By Dragan Gaševic , Dragan Djuric , Vladan Devedžic , Bran V. Selic , Jean Bézivin

Model Driven Engineering and Ontology Development Cover Image

This book details how to use model-driven engineering for ontology development on the Semantic Web. It explains in detail how to use standards like MDA and UML for ontology development and offers the first detailed description of OMG’s upcoming ODM standard.

Full Description

  • ISBN13: 978-3-6420-0281-6
  • 400 Pages
  • User Level: Science
  • Publication Date: June 12, 2009
  • Available eBook Formats: PDF
  • eBook Price: $69.95
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Full Description
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 detailing how to use model-driven engineering 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. For this second edition, the descriptions of the related standards (like MOF, ODM, OCL, and OWL) have been revised and updated; new chapters introducing the basic principles of model-driven engineering, recent research results on metamodeling Semantic Web rule languages, an introduction to the Atlas Transformation Language (ATL) and its tool support, and, last but not least, many new examples have been added.
Table of Contents

Table of Contents

  1. Part I: Basics
  2. Knowledge Representation
  3. Ontologies
  4. The Semantic Web
  5. Model Driven Engineering
  6. Modeling Spaces. Part II: Model Driven Engineering and Ontologies
  7. Software Engineering Approaches for Ontology Development
  8. The MDA
  9. Based Ontology Infrastructure
  10. The Ontology Definition Metamodel (ODM)
  11. The Ontology UML Profile
  12. Mappings of MDA
  13. Based Languages and Ontologies. Part III: Applications
  14. Modeling Tools and Ontology Development
  15. MDA
  16. Based Ontology Platform: AIR
  17. Examples of Ontologies
  18. Beyond the Ontology Definition Metamodel: Applications.
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