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Informationen zum Autor 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. Klappentext 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. Zusammenfassung Semantic Web is a term coined by World Wide Web Consortium (W3C) director Tim Berners-Lee describing the methods and technologies that allow machines to understand the meaning or semantics of information on the World Wide Web. Inhaltsverzeichnis List of Figures xv List of Tables xix Foreword xxi Preface xxiii Acronyms xxvii Part I Fundamentals 1 Introduction 3 1.1 Motivation 3 1.2 Research Questions 5 2 Model-Driven Engineering Foundations 9 2.1 Introduction 9 2.2 Model-Driven Engineering Structure 9 2.2.1 Models 11 2.2.2 Metamodels 11 2.2.3 Modeling Languages 13 2.2.4 Model Transformations 17 2.2.5 Query Languages 17 2.3 Technical Spaces 19 2.4 Conclusion 20 3 Ontology Foundations 21 3.1 Introduction 21 3.2 Ontology 22 3.2.1 Ontology Modeling 22 3.3 The Ontology Web Language 24 3.3.1 OWL 2 Syntax 24 3.3.2 OWL 2 Semantics 27 3.3.3 World Assumption and Name Assumption 27 3.4 Ontology Services 31 3.4.1 Reasoning Services 31 3.4.2 Querying 31 3.5 Ontology Engineering Services 33 3.5.1 Explanation 33 3.5.2 Ontology Matching 34 3.6 Rules 34 3.7 Metamodels for Ontology Technologies 35 3.7.1 OWL Metamodels 35 3.7.2 SPARQL Metamodel 40 3.8 Ontological Technical Spaces 41 ...
List 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
