Semantic Web and Model-Driven Engineering

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.

The next enterprise computing era will rely on the synergy betweenboth technologies: semantic web and model-driven softwaredevelopment (MDSD). The semantic web organizes system knowledge inconceptual domains according to its meaning. It addresses variousenterprise computing needs by identifying, abstracting andrationalizing commonalities, and checking for inconsistenciesacross system specifications. On the other side, model-drivensoftware development is closing the gap among businessrequirements, designs and executables by using domain-specificlanguages with custom-built syntax and semantics. It focuses onusing modeling languages as programming languages.Among many areas of application, we highlight the area ofconfiguration management. Consider the example of atelecommunication company, where managing the multipleconfigurations of network devices (routers, hubs, modems, etc.) iscrucial. Enterprise systems identify and document the functionaland physical characteristics of network devices, and controlchanges to those characteristics. Applying the integration ofsemantic web and model-driven software development allows for(1) explicitly specifying configurations of network devices withtailor-made languages(2) for checking the consistency of these specifications(3) for defining a vocabulary to share device specificationsacross enterprise systems. By managing configurations withconsistent and explicit concepts, we reduce cost and risk, andenhance agility in response to new requirements in thetelecommunication area.This book examines the synergy between semantic web andmodel-driven software development. It brings together advances fromdisciplines like ontologies, description logics, domain-specificmodeling, model transformation and ontology engineering to takeenterprise computing to the next level.

PART I FUNDAMENTALS1 INTRODUCTION 32 MODEL-DRIVEN ENGINEERING FOUNDATIONS 93 ONTOLOGY FOUNDATIONS 214 MARRYING ONTOLOGY AND MODEL-DRIVEN ENGINEERING 44CONCLUSION OF PART IPART II THE TWOUSE APPROACH5 THE TWOUSE CONCEPTUAL ARCHITECTURE 656 QUERY LANGUAGES FOR INTEGRATED MODELS 787 THE TWOUSE TOOLKIT 86CONCLUSION OF PART IIPART III APPLICATIONS IN MODEL-DRIVEN ENGINEERING8 IMPROVING SOFTWARE DESIGN PATTERNS WITH OWL 999 MODELING ONTOLOGY-BASED INFORMATION SYSTEMS 11210 ENABLING LINKED DATA CAPABILITIES TO MOF COMPLIANT MODELS 124CONCLUSION OF PART IIIPART IV APPLICATIONS IN THE SEMANTIC WEB11 MODEL-DRIVEN SPECIFICATION OF ONTOLOGY TRANSLATIONS 14112 AUTOMATIC GENERATION OF ONTOLOGY APIs 15613 USING TEMPLATES IN OWL ONTOLOGIES 171CONCLUSION OF PART IV14 CONCLUSION 187