Gasevic / Ga#evic / Djuric Model Driven Engineering and Ontology Development

2. Auflage 2009
ISBN: 978-3-642-00282-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 378 Seiten

Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are unfamiliar with these. This book fills this gap by covering the subject of MDA application for ontology development on the Semantic Web. The writing is technical yet clear, and is illustrated with examples. The book is supported by a website.

Dragan Gasevic is an assistant professor in the School of Computing and Information Systems at Athabasca University in Canada and an Adjunct Professor at Simon Fraser University in Canada. He is a recipient of Alberta Ingenuity's 2008 New Faculty Award. His research interests include semantic technologies, software language engineering, and learning technologies. Dragan Djuric is an assistant professor of computer science at the Department of Software Engineering, FON - School of Business Administration, University of Belgrade, Serbia. He is also a memeber of the GOOD OLD AI research group. His main research interests include software engineering, web engineering, intelligent systems, knowledge representation, ontologies and the Semantic Web. Vladan Devedzic is a professor of computer science at the Department of Software Engineering, FON - School of Business Administration, University of Belgrade, Serbia. He is also the head of the GOOD OLD AI research group. His main research interests include software engineering, intelligent systems, knowledge representation, ontologies, Semantic Web, intelligent reasoning, and applications of artificial intelligence techniques to education and healthcare.

Autoren/Hrsg.

Gasevic, Dragan

Ga#evic, Dragan

Djuric, Dragan

Devedzic, Vladan

Deved#ic, Vladan

Inhaltsverzeichnis

1;Foreword to the 2nd Edition;6
2;Foreword to the 1st Edition;8
3;Preface;10
3.1;What Happened Since the First Edition?;11
3.2;Second Edition;12
3.3;Organization, Structure, and Changes;13
3.4;Acknowledgments;14
4;Contents;16
5;Part I Basics;21
5.1;1 Knowledge Representation;22
5.1.1;1.1 Basic Concepts;23
5.1.2;1.2 Cognitive Science;26
5.1.3;1.3 Types of Human Knowledge;30
5.1.4;1.4 Knowledge Representation Techniques;33
5.1.5;1.5 Knowledge Representation Languages;38
5.1.6;1.6 Knowledge Engineering;55
5.1.7;1.7 Open Knowledge Base Connectivity (OKBC);57
5.1.8;1.8 The Knowledge Level;60
5.2;2 Ontologies;63
5.2.1;2.1 Basic Concepts;64
5.2.2;2.2 Ontological Engineering;77
5.2.3;2.3 Applications;90
5.2.4;2.4 Advanced Topics;94
5.3;3 The Semantic Web;99
5.3.1;3.1 Rationale;100
5.3.2;3.2 Semantic Web Languages;101
5.3.3;3.3 The Role of Ontologies;123
5.3.4;3.4 Semantic Markup;125
5.3.5;3.5 Development Frameworks;128
5.3.6;3.6 Reasoning;131
5.3.7;3.7 Semantic Web Services;134
5.3.8;3.8 Open Issues;139
5.3.9;3.9 Quotations;142
5.4;4 Model Driven Engineering;143
5.4.1;4.1 Models and Metamodels;143
5.4.2;4.2 Types of Software Models;150
5.4.3;4.3 The Model Driven Architecture;151
5.4.4;4.4 Metamodeling Languages;153
5.4.5;4.5 Standardized MDA Metamodels;158
5.4.6;4.6 UML Profiles;161
5.4.7;4.7 Model Transformations;165
5.4.8;4.8 Object Constraint Language;169
5.4.9;4.9 An XML for Sharing MDA Artifacts;170
5.4.10;4.10 The Need for Modeling Spaces;172
5.5;5 Modeling Spaces;174
5.5.1;5.1 Modeling the Real World;175
5.5.2;5.2 The Real World, Models, and Metamodels;176
5.5.3;5.3 The Essentials of Modeling Spaces;178
5.5.4;5.4 Modeling Spaces Illuminated;181
5.5.5;5.5 Modeling Spaces Applied;184
5.5.6;5.6 A Touch of RDF(S) and MOF Modeling Spaces;186
5.5.7;5.7 A Touch of the Semantic Web and MDA Technical Spaces;188
5.5.8;5.8 Instead of Conclusions;190
6;Part II Model Driven Engineering and Ontologies;191
6.1;6 Software Engineering Approaches to Ontology Development;192
6.1.1;6.1 A Brief History of Ontology Modeling;192
6.1.2;6.2 Ontology Development Tools Based on Software Engineering Techniques;208
6.1.3;6.3 Summary of Relations Between UML and Ontologies;216
6.2;7 The MDA-Based Ontology Infrastructure;221
6.2.1;7.1 Motivation;221
6.2.2;7.2 Overview;222
6.2.3;7.3 Bridging RDF(S) and MOF;225
6.2.4;7.4 Design Rationale for the Ontology UML Profile;227
6.3;8 The Ontology Definition Metamodel (ODM);229
6.3.1;8.1 ODM Metamodels;229
6.3.2;8.2 A Few Objections to the ODM Specification;231
6.3.3;8.3 The Resource Description Framework Schema (RDFS) Metamodel;233
6.3.4;8.4 The Web Ontology Language (OWL) Metamodel;239
6.4;9 The Ontology UML Profile;248
6.4.1;9.1 Classes and Individuals in Ontologies;248
6.4.2;9.2 Properties of Ontologies;251
6.4.3;9.3 Statements;253
6.4.4;9.4 Different Versions of the Ontology UML Profile;254
6.5;10 Mappings of MDA-Based Languages and Ontologies;257
6.5.1;10.1 Relations Between Modeling Spaces;257
6.5.2;10.2 Transformations Between Modeling Spaces;260
6.5.3;10.3 Example of an Implementation: An XSLT-Based Approach;264
7;Part III Applications;274
7.1;11 Modeling Tools and Ontology Development;275
7.1.1;11.1 MagicDraw;276
7.1.2;11.2 Poseidon for UML;293
7.1.3;11.3 Sharing Models Between UML Tools and Protégé;297
7.1.4;11.4 Atlas Transformation Language;301
7.2;12 An MDA Based Ontology Platform: AIR;308
7.2.1;12.1 Motivation;308
7.2.2;12.2 The Basic Idea;309
7.2.3;12.3 Metamodel—the Conceptual Building Block of AIR;311
7.2.4;12.4 The AIR Metadata Repository;312
7.2.5;12.5 The AIR Workbench;315
7.2.6;12.6 The Role of XML Technologies;317
7.2.7;12.7 Possibilities;318
7.3;13 Examples of Ontology;319
7.3.1;13.1 Petri Net Ontology;319
7.3.2;13.2 Educational Ontologies;330
7.4;14 Beyond the Ontology Definition Metamodel: Applications;343
7.4.1;14.1 Integrated Ontology Development Toolkit;343
7.4.2;14.2 TwoUse: UML and OWL Modeling;346
7.4.3;14.3 Model Driven Engineering of Ontology Reasoners;349
7.4.4;14.4 Model Driven Engineering and Semantic Web Rules;353
7.5;References;359
7.6;Index;378