Hepp / De Leenheer / Leenheer Ontology Management

Semantic Web, Semantic Web Services, and Business Applications
1. Auflage 2007
ISBN: 978-0-387-69900-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 295 Seiten

Reihe: Semantic Web and Beyond

Ontology Managememt provides an up-to-date, scientifically correct, concise and easy-to-read reference on this topic. The book includes relevant tasks, practical and theoretical challenges, limitations and methodologies, plus available tooling support. The editors discuss integrating the conceptual and technical dimensions with a business view on using ontologies, stressing the cost dimension of ontology engineering and offering guidance on how to derive ontologies semi-automatically from existing standards and specifications.  

Autoren/Hrsg.

Hepp, Martin

Leenheer, Pieter

Moor, Aldo

Sure, York

De Leenheer, Pieter

De Moor, Aldo

Inhaltsverzeichnis

1;TABLE OF CONTENTS;7
2;FOREWORD;9
3;ACKNOWLEDGEMENTS;12
4;LIST OF REVIEWERS;13
5;LIST OF AUTHORS;14
6;Chapter 1 ONTOLOGIES: STATE OF THE ART, BUSINESS POTENTIAL, AND GRAND CHALLENGES;18
6.1;1. ONTOLOGIES IN COMPUTER SCIENCE AND INFORMATION SYSTEMS;18
6.1.1;1.1 Different notions of the term ontology;19
6.1.2;1.2 Ontologies vs. knowledge bases, XML schemas, and knowledge organization systems;21
6.1.3;1.3 Six characteristic variables of an ontology project;23
6.2;2. SIX EFFECTS OF ONTOLOGIES;25
6.2.1;2.1 Using philosophical notions as guidance for identifying stable and reusable conceptual elements;27
6.2.2;2.2 Unique identifiers for conceptual elements;27
6.2.3;2.3 Excluding unwanted interpretations by means of informal semantics;28
6.2.4;2.4 Excluding unwanted interpretations by means of formal semantics;29
6.2.5;2.5 Inferring implicit facts automatically;30
6.2.6;2.6 Spotting logical inconsistencies;31
6.3;3. GRAND CHALLENGES OF ONTOLOGY CONSTRUCTION AND USE;31
6.3.1;3.1 Interaction with human minds;31
6.3.2;3.2 Integration with existing knowledge organization systems;32
6.3.3;3.3 Managing dynamic networks of formal meaning;32
6.3.4;3.4 Scalable infrastructure;33
6.3.5;3.5 Economic and legal constraints;34
6.3.6;3.6 Experience;34
6.4;4. CONCLUSION;34
6.5;ACKNOWLEDGEMENTS;35
6.6;REFERENCES;35
7;Chapter 2 ENGINEERING AND CUSTOMIZING ONTOLOGIES;39
7.1;The Human-Computer Challenge in Ontology Engineering;39
7.2;1. INTRODUCTION;39
7.2.1;1.1 Terms frequently used in HCI;41
7.2.2;1.2 About ontological engineering;43
7.3;2. USERS IN ONTOLOGICAL ENGINEERING;44
7.3.1;2.1 Motivation and background;44
7.3.2;2.2 Overview of the observational user study;46
7.3.3;2.3 Findings from the user study;48
7.3.4;2.4 Lessons learned from the user study;52
7.4;3. USER INTERACTION WITH ONTOLOGIES;54
7.5;4. USERS AND ONTOLOGY ENGINEERING;57
7.5.1;4.1 User profiling;58
7.5.2;4.2 Navigating in complex conceptual structures;59
7.5.3;4.3 Customizing ontologies;65
7.5.4;4.4 Illustrative scenario— putting it all together;66
7.6;5. CONCLUSIONS;69
7.7;ADDITIONAL READING;69
7.8;REFERENCES;70
8;Chapter 3 ONTOLOGY MANAGEMENT INFRASTRUCTURES;72
8.1;1. INTRODUCTION AND MOTIVATION;72
8.2;2. STATE OF THE ART;74
8.2.1;2.1 Ontology infrastructures;74
8.2.2;2.2 Ontology development tools;76
8.2.3;2.3 Summary and remarks;86
8.3;3. REQUIREMENTS FOR ONTOLOGY MANAGEMENT INFRASTRUCTURES;89
8.3.1;3.1 Support for important ontology language paradigms;89
8.3.2;3.2 Support for networked ontologies;89
8.3.3;3.3 Lifecycle support;90
8.3.4;3.4 Collaboration support;91
8.4;4. NEON REFERENCE ARCHITECTURE;92
8.4.1;4.1 Eclipse as an integration platform;93
8.4.2;4.2 Infrastructure services;94
8.4.3;4.3 Engineering components;96
8.4.4;4.4 GUI components;97
8.5;5. CONCLUSIONS;98
8.6;ADDITIONAL READING;98
8.7;REFERENCES;99
9;Chapter 4 ONTOLOGY REASONING WITH LARGE DATA REPOSITORIES;101
9.1;1. INTRODUCTION;102
9.2;2. ONTOLOGY STORAGE AND REASONING: AN OVERVIEW;103
9.3;3. REASONING WITH WSML-DL;116
9.3.1;3.1 Reasoning with description logics;117
9.3.2;3.2 WSML-DL;118
9.3.3;3.3 Translation of WSML-DL to OWL DL;119
9.4;4. SEMANTIC BUSINESS PROCESS REPOSITORY;126
9.4.1;4.1 Requirements analysis;126
9.4.2;4.2 Comparison of storage mechanisms;127
9.4.3;4.3 Proposed solution;133
9.5;5. CONCLUSIONS AND DIRECTIONS FOR FUTURE RESEARCH;134
9.6;ADDITIONAL READING;135
9.7;REFERENCES;136
10;Chapter 5 ONTOLOGY EVOLUTION;142
10.1;State of the Art and Future Directions;142
10.2;1. INTRODUCTION;143
10.3;2. THE DYNAMIC ASPECTS OF ONTOLOGY ENGINEERING;145
10.3.1;2.1 Ontology engineering processes;145
10.3.2;2.2 Context dependencies;149
10.4;3. SINGLE ONTOLOGY EVOLUTION;151
10.4.1;3.1 Data schema evolution;151
10.4.2;3.2 Single user change process model;152
10.4.3;3.3 Versioning;161
10.5;4. COLLABORATIVE ONTOLOGY ENGINEERING;163
10.5.1;4.1 Collaborative change process model;164
10.5.2;4.2 Socio-technical requirements;166
10.5.3;4.3 Context dependency management;169
10.5.4;4.4 Argumentation and negotiation;171
10.5.5;4.5 Integration;172
10.6;5. CHALLENGES;174
10.6.1;5.1 Conflict management;174
10.6.2;5.2 Towards community-driven ontology evolution;175
10.7;6. SOFTWARE AND TOOLS;178
10.7.1;6.1 Protégé tool suite;178
10.7.2;6.2 KAON;179
10.7.3;6.3 WSMO Studio;179
10.7.4;6.4 DOGMA Studio;180
10.8;ADDITIONAL READING;181
10.9;ACKNOWLEDGMENTS;181
10.10;REFERENCES;181
11;Chapter 6 ONTOLOGY ALIGNMENTS;188
11.1;An Ontology Management Perspective;188
11.2;1. RELATING ONTOLOGIES: FROM ONTOLOGY ISLANDS TO CONTINENT;188
11.3;2. ONTOLOGY MATCHING AND ALIGNMENTS;189
11.3.1;2.1 Alignments for expressing relations;189
11.3.2;2.2 Applications;191
11.3.3;2.3 Matching ontologies;193
11.4;3. TOWARDS ALIGNMENT MANAGEMENT;196
11.4.1;3.1 Why supporting alignments?;196
11.4.2;3.2 The alignment lifecycle;197
11.4.3;3.3 Requirements for alignment support;199
11.4.4;3.4 Example scenario: data mediation for Semantic Web services;200
11.5;4. DESIGN TIME ALIGNMENT SUPPORT;202
11.5.1;4.1 Requirements;202
11.5.2;4.2 Example design- time tool: Web Service Modeling Toolkit;203
11.6;5. ONTOLOGY ALIGNMENT MANAGEMENT AND MAINTENANCE;206
11.6.1;5.1 Alignment server for storing;206
11.6.2;5.2 Sharing alignments;207
11.6.3;5.3 Evolving and maintaining ontology alignments;208
11.7;6. ALIGNMENT PROCESSING;208
11.7.1;6.1 Query rewriting and instance transformation;209
11.7.2;6.2 Merging;210
11.7.3;6.3 Semantic data mediation;211
11.8;7. SOFTWARE AND TOOLS;212
11.9;8. CONCLUSIONS;214
11.10;ADDITIONAL READING;215
11.11;ACKNOWLEDGEMENTS;215
11.12;REFERENCES;215
12;Chapter 7 THE BUSINESS VIEW: ONTOLOGY ENGINEERING COSTS;218
12.1;1. INTRODUCTION;218
12.2;2. COST ESTIMATION FOR ONTOLOGY ENGINEERING;220
12.3;3. THE ONTOLOGY COST MODEL ONTOCOM;225
12.4;4. SOFTWARE AND TOOLS;232
12.5;5. STATE OF THE ART AND RELATED WORK;234
12.6;6. SUMMARY AND CONCLUSIONS;234
12.7;REFERENCES;235
13;Chapter 8 ONTOLOGY MANAGEMENT IN E-BANKING APPLICATIONS;238
13.1;Integrating Third-Party Applications within an e-Banking Infrastructure;238
13.2;1. INTRODUCTION;238
13.3;2. SEMANTIC WEB SERVICES FOR E-BANKING;240
13.4;3. REUSING EXISTING CONSENSUS;242
13.5;4. EDITING AND BROWSING;245
13.6;5. CONCLUSIONS;252
13.7;REFERENCES;253
14;Chapter 9 ONTOLOGY-BASED KNOWLEDGE MANAGEMENT IN AUTOMOTIVE ENGINEERING SCENARIOS;254
14.1;1. INTRODUCTION;254
14.2;2. CASE STUDY: CONFIGURATION OF TEST CARS;255
14.3;3. ONTOLOGY MODELING;258
14.3.1;3.1 Concepts, relations, attributes, instances;258
14.3.2;3.2 Rules;260
14.3.3;3.3 Explanations;261
14.4;4. REASONING FOR ENGINEERING;262
14.4.1;4.1 Logical foundations;263
14.4.2;4.2 Debugging rules;264
14.4.3;4.3 Analyzing ontologies;265
14.4.4;4.4 Regression tests;266
14.5;5. INFORMATION INTEGRATION;267
14.5.1;5.1 Information sources for ontology contents;268
14.5.2;5.2 Database schema import;268
14.5.3;5.3 Database mappings;269
14.6;6. CONCLUSION;271
14.7;REFERENCES;272
15;Chapter 10 ONTOLOGISING COMPETENCIES IN AN INTERORGANISATIONAL SETTING;274
15.1;1. INTRODUCTION;274
15.1.1;1.1 Competencies as tacit knowledge;275
15.1.2;1.2 A real world case study: the Dutch bakery domain;276
15.2;2. INTERORGANISATIONAL ONTOLOGY ENGINEERING;277
15.2.1;2.1 DOGMA;277
15.2.2;2.2 DOGMA- MESS;278
15.3;3. EXPERIENCES;282
15.3.1;3.1 Editing and browsing;282
15.3.2;3.2 Reusing existing consensus;287
15.3.3;3.3 Ontology evolution;290
15.3.4;3.4 Tool support;292
15.3.5;3.5 Storage and retrieval;294
15.4;4. CONCLUSION;295
15.5;ACKNOWLEDGEMENTS;296
15.6;REFERENCES;296
16;ABOUT THE EDITORS;298
17;INDEX;300