Semantic Web and Model-Driven Engineering

Content: Chapter 1 Introduction (pages 1–8): Chapter 2 Model?Driven Engineering Foundations (pages 9–20): Chapter 3 Ontology Foundations (pages 21–43): Chapter 4 Marrying Ontology and Model?Driven Engineering (pages 44–59): Chapter 4a Conclusion of Part I (page 61): Chapter 5 The TwoUse Conceptual Architecture (pages 63–77): Chapter 6 Query Languages for Integrated Models (pages 78–85): Chapter 7 The TwoUse Toolkit (pages 86–93): Chapter 7a Conclusion of Part II (page 95): Chapter 8 Improving Software Design Patterns with OWL (pages 97–111): Chapter 9 Modeling Ontology?Based Information Systems (pages 112–123): Chapter 10 Enabling Linked Data Capabilities to MOF Compliant Models (pages 124–135): Chapter 10a Conclusion of Part III (page 137): Chapter 11 Model?Driven Specification of Ontology Translations (pages 139–155): Chapter 12 Automatic Generation of Ontology APIs (pages 156–170): Chapter 13 Using Templates in OWL Ontologies (pages 171–183): Chapter 13a Conclusion of Part IV (page 185): Chapter 14 Conclusion (pages 187–190):

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.

Part I Fundamentals -- Introduction -- Model-Driven Engineering Foundations -- Ontology Foundations -- Marrying Ontology and Model-Driven Engineering -- Conclusion of Part I -- Part II The TwoUse Approach -- The TwoUse Conceptual Architecture -- Query Languages for Integrated Models -- The TwoUse Toolkit -- Conclusion of Part II -- Part III: Applications in Model-Driven Engineering -- Improving Software Design Patterns with OWL -- Modeling Ontology-Based Information Systems -- Enabling Linked Data Capabilities to MOF Compliant Models -- Conclusion of Part III -- Part IV Applications in the Semantic Web -- Model-Driven Specification of Ontology Translations -- Automatic Generation of Ontology APIs -- Using Templates in OWL Ontologies -- Conclusion of Part IV -- Conclusion -- Appendix A: A.1 EBNF Definition of the Concrete Textual Syntax for TwoUse -- A.2 EBNF Grammar of SPARQLAS Functional Syntax -- A.3 EBNF Grammar of SPARQLAS Manchester Syntax -- A.4 SPARQLAS Metamodel -- A.5 Ecore to OWL: Translation -- Appendix B: B.1 Use Cases -- B.2 Connecting Use Cases with Requirements -- References -- Index "Integrates two powerful software approaches to dramatically enhance enterprise computingBased on the author's own course materials, this book takes enterprise computing to the next level by offering readers a tested and proven method for applying semantic web tools to model-driven software engineering. It integrates and takes advantage of the latest advances from such disciplines as ontologies, description logics, domain-specific modeling, model transformation, and ontology engineering. Before advancing to practical applications, Semantic Web and Model-Driven Engineering lays a foundation of fundamental concepts."--Publisher's website 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.