Semantic Web and Model-Driven Engineering

Semantic Web and Model-Driven Engineering

Author(s): Fernando Silva Parreiras

Published Online: 21 MAY 2012 09:22AM EST

Print ISBN: 9781118004173

Online ISBN: 9781118135068

DOI: 10.1002/9781118135068

About this Book

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.

Table of contents

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  1. Part I: Fundamentals

  2. Part II: The Twouse Approach

  3. Part III: Applications in Model-Driven Engineering

  4. Part IV: Applications in the Semantic Web

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    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content

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