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Author : Fernando Silva Parreiras
Release : 2012
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Semantic Web and Model-driven Engineering by : Fernando Silva Parreiras
Download or read book Semantic Web and Model-driven Engineering written by Fernando Silva Parreiras. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fernando S. Parreiras
Release : 2012-06-05
Genre : Computers
Kind : eBook
Book Rating : 175/5 ( reviews)
Book Synopsis Semantic Web and Model-Driven Engineering by : Fernando S. Parreiras
Download or read book Semantic Web and Model-Driven Engineering written by Fernando S. Parreiras. This book was released on 2012-06-05. Available in PDF, EPUB and Kindle. Book excerpt: 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. Among many areas of application, we highlight the area of configuration management. Consider the example of a telecommunication company, where managing the multiple configurations of network devices (routers, hubs, modems, etc.) is crucial. Enterprise systems identify and document the functional and physical characteristics of network devices, and control changes to those characteristics. Applying the integration of semantic web and model-driven software development allows for (1) explicitly specifying configurations of network devices with tailor-made languages, (2) for checking the consistency of these specifications (3) for defining a vocabulary to share device specifications across enterprise systems. By managing configurations with consistent and explicit concepts, we reduce cost and risk, and enhance agility in response to new requirements in the telecommunication area. This book examines the synergy between semantic web and model-driven software development. It brings together advances from disciplines like ontologies, description logics, domain-specific modeling, model transformation and ontology engineering to take enterprise computing to the next level.
Author : Keith Clay
Release : 2017-11-23
Genre :
Kind : eBook
Book Rating : 669/5 ( reviews)
Book Synopsis Semantic Web and Model-Driven Engineering by : Keith Clay
Download or read book Semantic Web and Model-Driven Engineering written by Keith Clay. This book was released on 2017-11-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Fernando S. Parreiras
Release : 2012-05-09
Genre : Computers
Kind : eBook
Book Rating : 059/5 ( reviews)
Book Synopsis Semantic Web and Model-Driven Engineering by : Fernando S. Parreiras
Download or read book Semantic Web and Model-Driven Engineering written by Fernando S. Parreiras. This book was released on 2012-05-09. Available in PDF, EPUB and Kindle. Book excerpt: 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. Among many areas of application, we highlight the area of configuration management. Consider the example of a telecommunication company, where managing the multiple configurations of network devices (routers, hubs, modems, etc.) is crucial. Enterprise systems identify and document the functional and physical characteristics of network devices, and control changes to those characteristics. Applying the integration of semantic web and model-driven software development allows for (1) explicitly specifying configurations of network devices with tailor-made languages, (2) for checking the consistency of these specifications (3) for defining a vocabulary to share device specifications across enterprise systems. By managing configurations with consistent and explicit concepts, we reduce cost and risk, and enhance agility in response to new requirements in the telecommunication area. This book examines the synergy between semantic web and model-driven software development. It brings together advances from disciplines like ontologies, description logics, domain-specific modeling, model transformation and ontology engineering to take enterprise computing to the next level.
Author : Dragan Gaševic
Release : 2009-06-12
Genre : Computers
Kind : eBook
Book Rating : 82X/5 ( reviews)
Book Synopsis Model Driven Engineering and Ontology Development by : Dragan Gaševic
Download or read book Model Driven Engineering and Ontology Development written by Dragan Gaševic. This book was released on 2009-06-12. Available in PDF, EPUB and Kindle. Book excerpt: Defining a formal domain ontology is 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 unfamiliar with these. This book fills this gap by covering the subject of MDA application for ontology development on the Semantic Web. The writing is technical yet clear, and is illustrated with examples. The book is supported by a website.
