Semantic Web and Model-Driven Engineering [NOOK Book]

Overview

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 ...
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Semantic Web and Model-Driven Engineering

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Overview

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.

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Product Details

  • ISBN-13: 9781118135051
  • Publisher: Wiley
  • Publication date: 5/9/2012
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 250
  • File size: 6 MB

Meet the Author

FERNANDO SILVA PARREIRAS, PhD, is Assistant Professor at the FUMEC University, Brazil, leading the Laboratory of Advanced Information Systems (LIAISE). He received his PhD in computer science from the University of Koblenz-Landau, Germany, summa cum laude. He leads the development of open source software to bridge the gap between semantic web and model-driven software development. Prior to joining the FUMEC University, Dr. Parreiras held positions as researcher and project leader at the University of Koblenz-Landau and as software developer at Unisys.

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Table of Contents

PART I FUNDAMENTALS

1 INTRODUCTION 3

2 MODEL-DRIVEN ENGINEERING FOUNDATIONS 9

3 ONTOLOGY FOUNDATIONS 21

4 MARRYING ONTOLOGY AND MODEL-DRIVEN ENGINEERING 44

CONCLUSION OF PART I

PART II THE TWOUSE APPROACH

5 THE TWOUSE CONCEPTUAL ARCHITECTURE 65

6 QUERY LANGUAGES FOR INTEGRATED MODELS 78

7 THE TWOUSE TOOLKIT 86

CONCLUSION OF PART II

PART III APPLICATIONS IN MODEL-DRIVEN ENGINEERING

8 IMPROVING SOFTWARE DESIGN PATTERNS WITH OWL 99

9 MODELING ONTOLOGY-BASED INFORMATION SYSTEMS 112

10 ENABLING LINKED DATA CAPABILITIES TO MOF COMPLIANT MODELS 124

CONCLUSION OF PART III

PART IV APPLICATIONS IN THE SEMANTIC WEB

11 MODEL-DRIVEN SPECIFICATION OF ONTOLOGY TRANSLATIONS 141

12 AUTOMATIC GENERATION OF ONTOLOGY APIs 156

13 USING TEMPLATES IN OWL ONTOLOGIES 171

CONCLUSION OF PART IV

14 CONCLUSION 187

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