Semantic web and model-driven engineering / Fernando Silvo Parreiras.

By:

Parreiras, Fernando Silva [author.]

Contributor(s):

Material type: Text

TextPublisher: Piscataway, New Jersey : IEEE Press, c2012Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2012]Description: 1 PDF (250 pages)Content type:

text

Media type:

electronic

Carrier type:

online resource

ISBN:

9781118135068
1118135067
1118135032

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: No titleDDC classification:

005.1

Online resources:

Abstract with links to resource

Also available in print.

Contents:

Fundamentals. Introduction -- Model-Driven Engineering Foundations -- Ontology Foundations -- Marrying Ontology and Model-Driven Engineering -- Conclusion of Part I -- The Twouse Approach. The TwoUse Conceptual Architecture -- Query Languages for Integrated Models -- The TwoUse Toolkit -- Conclusion of Part II -- Applications in Model-Driven Engineering. Improving Software Design Patterns with OWL -- Modeling Ontology-Based Information Systems -- Enabling Linked Data Capabilities to MOF Compliant Models -- Conclusion of Part III -- Applications in the Semantic Web. Model-Driven Specification of Ontology Translations -- Automatic Generation of Ontology APIs -- Using Templates in OWL Ontologies -- Conclusion of Part IV -- Conclusion.

Summary: The next enterprise computing era will rely on the synergy between both technologies: semantic web and model-driven software development (MDSD). The semantic web organizes system knowledge in conceptual domains according to its meaning. It addresses various enterprise computing needs by identifying, abstracting and rationalizing commonalities, and checking for inconsistencies across system specifications. On the other side, model-driven software development is closing the gap among business requirements, designs and executables by using domain-specific languages with custom-built syntax and se

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The next enterprise computing era will rely on the synergy between both technologies: semantic web and model-driven software development (MDSD). The semantic web organizes system knowledge in conceptual domains according to its meaning. It addresses various enterprise computing needs by identifying, abstracting and rationalizing commonalities, and checking for inconsistencies across system specifications. On the other side, model-driven software development is closing the gap among business requirements, designs and executables by using domain-specific languages with custom-built syntax and se