Semantic web and model-driven engineering

pt. 1. Fundamentals. Introduction -- Model-driven engineering foundations -- Ontology foundations -- Marrying ontology and model-driven engineering -- pt. 2. The Twouse approach. The Twouse conceptual architecture -- Query languages for integrated models -- The Twouse toolkit -- pt. 3. Applications...

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1. Verfasser: Parreiras, Fernando Silva (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Hoboken, NJ Wiley-Blackwell 2012
Piscataway, NJ IEEE Press 2012
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Zusammenfassung:pt. 1. Fundamentals. Introduction -- Model-driven engineering foundations -- Ontology foundations -- Marrying ontology and model-driven engineering -- pt. 2. The Twouse approach. The Twouse conceptual architecture -- Query languages for integrated models -- The Twouse toolkit -- pt. 3. Applications in model-driven engineering. Improving software design patterns with OWL -- Modeling ontology-based information systems -- Enabling linked data capabilities to MOF compliant models -- pt. 4. Applications in the sematic web. Model-driven specification of ontology translations -- Automatic generation of ontology APIs -- Using templates in OWL ontologies -- Conclusion.
"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 semantics. It focuses on using modeling languages as programming languages." -- Publisher's website
"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 semantics. It focuses on using modeling languages as programming languages." -- Publisher's website
Beschreibung:Literaturverz. S. 212 - 225
Beschreibung:XXVIII, 236 S.
graph. Darst.
ISBN:1118004175
1-118-00417-5
9781118004173
978-1-118-00417-3