Cardoso / Hepp / Lytras The Semantic Web

Real-World Applications from Industry
1. Auflage 2007
ISBN: 978-0-387-48531-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 6, 308 Seiten

Reihe: Semantic Web and Beyond

This professional book provides a series of case studies which give examples of real benefits to be derived from the adoption of semantic web based ontologies in real world situations, such as telecommunication, B2B integration, tourism, education and more. The book is designed to create platforms for bringing experts together (key government representatives, industry and academia) from different countries, and to compile the most recent use of semantics and ontologies.

Autoren/Hrsg.

Cardoso, Jorge

Hepp, Martin

Lytras, Miltiadis D.

Inhaltsverzeichnis

1;Dedication;6
2;Contents;7
3;Contributing Authors;9
4;Foreword;13
5;Preface;16
6;PART I – SEMANTIC ENTERPRISES;20
6.1;THE FUTURE OF THE SEMANTIC WEB FOR ENTERPRISES;21
6.1.1;1. THE EARLY SEMANTIC WEB;21
6.1.2;2. ONTOLOGIES: THE CORNERSTONE OF THE SEMANTIC WEB;23
6.1.3;3. CHALLENGES FOR A NEW SEMANTIC WORLD;24
6.1.4;3.1 Characteristics of a new world;24
6.1.5;3.2 Challenges for Semantic Web applications;25
6.1.6;4. THE IMPORTANCE OF SEMANTICS FOR ORGANIZATIONS;27
6.1.7;4.1 Ontology Management Systems;27
6.1.8;4.2 Challenge;28
6.1.9;5. THE CONTRIBUTION OF THIS EDITION;30
6.1.10;6. NEXT MILESTONES;31
6.1.11;7. QUESTIONS FOR DISCUSSION;31
6.1.12;8. SUGGESTED ADDITIONAL READING;32
6.1.13;9. ACKNOWLEDGMENTS;32
6.1.14;10. REFERENCES;32
6.2;THE ENTERPRISE SEMANTIC WEB;34
6.2.1;1. INTRODUCTION;34
6.2.2;2. BUSINESS AND TECHNOLOGY DRIVERS OF THE SEMANTIC WEB;35
6.2.3;3. THE ENTERPRISE SEMANTIC WEB;36
6.2.4;4. SOFTWARE FOR THE SEMANTIC WEB;38
6.2.5;5. USE CASES;40
6.2.6;5.1 Enhancing effectiveness of recruitment services;40
6.2.7;5.2 Enhancing agile manufacturing;43
6.2.8;5.3 Identification of patterns and insights in data;45
6.2.9;5.4 Integration of heterogeneous scientific data;46
6.2.10;5.5 Optimizing enterprise search and navigation;47
6.2.11;5.6 Additional applications of the Semantic Web;51
6.2.12;6. CONCLUSIONS;52
6.2.13;7. QUESTIONS FOR DISCUSSION;53
6.2.14;8. SUGGESTED ADDITIONAL READING;53
6.2.15;9. ACKNOWLEDGEMENTS;53
6.2.16;10. REFERENCES;54
7;PART II – FINANCE AND GOVERNMENT;55
7.1;SEMANTIC WEB TECHNOLOGIES FOR THE FINANCIAL DOMAIN;56
7.1.1;1. INTRODUCTION;56
7.1.2;2. SEMANTIC TECHNOLOGIES FOR ECONOMIC AND FINANCIAL INFORMATION MANAGEMENT 2.1 Description of the domain;57
7.1.3;2.2 An ontology for content management in the economic and financial domain;59
7.1.4;2.3 Semantic content description and exploitation;62
7.1.5;2.4 Experience and results;67
7.1.6;3. SEMANTIC TECHNOLOGIES FOR INVESTMENT FUNDS MARKET 3.1 Description of the domain;69
7.1.7;3.2 Creation of a domain model based on XBRL;72
7.1.8;3.3 Translating XBRL taxonomies into OWL ontologies;77
7.1.9;3.4 Comparison;82
7.1.10;4. CONCLUSIONS;84
7.1.11;5. QUESTIONS FOR DISCUSSION;86
7.1.12;6. SUGGESTED ADDITIONAL READING;87
7.1.13;7. REFERENCES;88
7.2;INTELLIGENT SEARCH ENGINE FOR ONLINE ACCESS TO MUNICIPAL SERVICES;90
7.2.1;1. INTRODUCTION;90
7.2.2;2. HOW DOES IT WORK?;94
7.2.3;3. THE CITY GOVERNMENT SERVICE ONTOLOGY;96
7.2.4;4. NATURAL LANGUAGE PROCESSING FOR ONLINE CITY SERVICES;98
7.2.5;5. SEMANTIC ANNOTATION OF CITY SERVICES;100
7.2.6;6. SEMANTICALLY-ENABLED SEARCH OF CITY SERVICES;102
7.2.7;7. SYSTEM ARCHITECTURE;104
7.2.8;8. CONCLUSIONS;106
7.2.9;9. QUESTIONS FOR DISCUSSION;106
7.2.10;10. SUGGESTED ADDITIONAL READING;107
7.2.11;11. ACKNOWLEDGEMENTS;107
7.2.12;12. REFERENCES;107
8;PART III – HEALTHCARE AND LIFE SCIENCES;109
8.1;ONTOLOGY-BASED DATA INTEGRATION FOR BIOMEDICAL RESEARCH;110
8.1.1;1. INTRODUCTION;110
8.1.2;2. USE CASE: PARKINSON’S DISEASE;113
8.1.3;2.1 Systems physiology perspective;113
8.1.4;2.2 Cellular and molecular biology perspective;114
8.1.5;2.3 Example query;115
8.1.6;3. ONTOLOGIES;116
8.1.7;3.1 Ontology design and construction;116
8.1.8;3.2 Ontology Design Choices;122
8.1.9;3.3 Summary;125
8.1.10;4. DATA SOURCES;125
8.1.11;4.1 Relevant data sources to the query;125
8.1.12;4.2 Implementing the data integration solution;127
8.1.13;4.3 Approaches for data integration;132
8.1.14;5. CONCLUSIONS AND FUTURE WORK;132
8.1.15;6. QUESTIONS FOR DISCUSSION;133
8.1.16;7. ADDITIONAL SUGGESTED READING;134
8.1.17;8. ACKNOWLEDGEMENTS;134
8.1.18;9. REFERENCES;135
8.2;ACTIVE SEMANTIC ELECTRONIC MEDICAL RECORDS;136
8.2.1;1. INTRODUCTION;136
8.2.2;2. MOTIVATING SCENARIO AND BENEFITS;138
8.2.3;3. KNOWLEDGE AND RULES REPRESENTAION;140
8.2.4;3.1 Rules;141
8.2.5;4. APPLICATION;142
8.2.6;4.1 Active Semantic Documents;142
8.2.7;4.2 Coding of impressions;144
8.2.8;5. IMPLEMENTATION DETAILS;145
8.2.9;6. DEPLOYMENT AND EVALUATION;146
8.2.10;7. RELATED WORK;149
8.2.11;8. CONCLUSION AND FUTURE WORK;150
8.2.12;9. QUESTIONS FOR DISCUSSION;151
8.2.13;10. SUGGESTED ADDITIONAL READING;151
8.2.14;11. ACKNOWLEDGEMENTS:;152
8.2.15;12. REFERENCES;152
9;PART IV – EDUCATION;154
9.1;TARGETING LEARNING RESOURCES IN COMPETENCY- BASED ORGANIZATIONS;155
9.1.1;1. MOTIVATION AND PROBLEM DESCRIPTION;155
9.1.2;2. COMPETENCY DRIVEN TRAINING SELECTION IN THE AERONAUTICAL FIELD;157
9.1.3;2.1 Actors and roles;158
9.1.4;2.2 Training related information objects;159
9.1.5;2.3 Training requests;160
9.1.6;2.4 Competency index and profiles;161
9.1.7;2.5 Viability and benefits;161
9.1.8;3. THE OVERALL PROCESS VIEW: A COMPETENCY GAP APPROACH;163
9.1.9;3.1 The Astrakan™ process modelling technique;163
9.1.10;3.2 Different types of competency gaps;165
9.1.11;3.3 Competencies as connectors of learning process modules;166
9.1.12;3.4 Modeling with a general competency ontology;167
9.1.13;3.5 Addressing flexibility in the definition of the competency concept;168
9.1.14;3.6 Competency components;169
9.1.15;3.7 Work situations;170
9.1.16;3.8 Relationships between competency specifications;171
9.1.17;3.9 Defining competency measurement scales;173
9.1.18;4. ARCHITECTURAL SOLUTION;174
9.1.19;4.1 The LUISA architecture;174
9.1.20;5. CONCLUSIONS;175
9.1.21;6. QUESTIONS FOR DISCUSSION;176
9.1.22;7. SUGGESTED READINGS;178
9.1.23;8. ACKNOWLEDGEMENTS;178
9.1.24;9. REFERENCES;179
9.2;DEVELOPING COURSE MANAGEMENT SYSTEMS USING THE SEMANTIC WEB;180
9.2.1;1. INTRODUCTION;180
9.2.2;2. S-CMS ARCHITECTURE;181
9.2.3;2.1 Source layer;183
9.2.4;2.2 Connection layer;184
9.2.5;2.3 Instance layer;184
9.2.6;2.4 Query layer;189
9.2.7;2.5 Inference layer;190
9.2.8;2.6 Application layer;191
9.2.9;3. EVALUATION;194
9.2.10;4. RELATED WORK;195
9.2.11;5. CONCLUSION;196
9.2.12;6. QUESTIONS FOR DISCUSSION;196
9.2.13;7. SUGGESTED ADDITIONAL READING;197
9.2.14;8. REFERENCES;197
9.2.15;9. REFERENCES;197
10;PART V – BUSINESS AND CUSTOMER MANAGEMENT;200
10.1;INTEGRATION OF CUSTOMER INFORMATION USING THE SEMANTIC WEB;201
10.1.1;1. INTRODUCTION;201
10.1.2;2. CONCEPTUAL LAYERING;202
10.1.3;3. TOOL SUPPORT/ARCHITECTURE;204
10.1.4;4. USE CASE: CUSTOMER INFORMATION GATEWAY;208
10.1.5;4.1 Data source import;209
10.1.6;4.2 Object and property mapping;210
10.1.7;4.3 Property value mapping;211
10.1.8;4.4 Object references and more metadata;212
10.1.9;4.5 Queries;213
10.1.10;4.6 Performance;213
10.1.11;5. LESSONS LEARNT AND KEY COMMENTS;214
10.1.12;6. SUMMARY;216
10.1.13;7. QUESTIONS FOR DISCUSSION;217
10.1.14;8. SUGGESTED ADDITIONAL READINGS;217
10.1.15;9. REFERENCES;218
10.2;BUSINESS PROCESS MANAGEMENT AND SEMANTIC TECHNOLOGIES;219
10.2.1;1. INTRODUCTION;219
10.2.2;2. DESIGN OF COLLABORATIVE BUSINESS PROCESSES;220
10.2.3;2.1 Semantic Web service composition;221
10.2.4;2.2 Lifting;223
10.2.5;2.3 Lowering;230
10.2.6;3. EXECUTION OF THE COLLABORATIVE BUSINESS PROCESS;230
10.2.7;3.1 Mapping extraction;232
10.2.8;3.2 Deployment and execution of the partner processes;235
10.2.9;3.3 Mediation;236
10.2.10;4. IMPLEMENTATION;237
10.2.11;4.1 Design;237
10.2.12;4.2 Execution;238
10.2.13;5. DEMO SCENARIO;240
10.2.14;5.1 Carrier-shipper process;240
10.2.15;5.2 Benefits of our approach;243
10.2.16;6. RELATED WORK;245
10.2.17;6.1 Design;245
10.2.18;6.2 Execution;245
10.2.19;7. CONCLUSION;246
10.2.20;8. QUESTIONS FOR DISCUSSION;246
10.2.21;9. SUGGESTED ADDITIONAL READING;247
10.2.22;10. REFERENCES;247
11;PART VI – ENTERPRISE MANAGEMENT AND SECURITY;250
11.1;ONTOLOGY-BASED KNOWLEDGE MANAGEMENT IN THE STEEL INDUSTRY;251
11.1.1;1. INTRODUCTION;251
11.1.2;2. MOTIVATIONS AND USE CASES;252
11.1.3;2.1 Knowledge capitalization tools;253
11.1.4;2.2 Unified data description layer;257
11.1.5;2.3 Supply chain management;259
11.1.6;2.4 Use cases summary;264
11.1.7;3. PRACTICAL EXPERIENCES;264
11.1.8;3.1 Expert Knowledge and Industry Processes Modeling;265
11.1.9;3.2 Visonto: a tool for ontology visualization;270
11.1.10;3.3 ARIADNE: enrichment of syntactic search;274
11.1.11;4. CONCLUSIONS;275
11.1.12;4.1 Open issues;275
11.1.13;4.2 Future lines of work;277
11.1.14;5. QUESTIONS FOR DISCUSSION;278
11.1.15;6. SUGGESTED ADDITIONAL READING;279
11.1.16;7. REFERENCES;279
11.2;BRINGING SEMANTIC SECURITY TO SEMANTIC WEB SERVICES;281
11.2.1;1. INTRODUCTION;281
11.2.2;1.1 Semantic Web Services;282
11.2.3;1.2 Semantically annotated Web Services: WSDL-S;283
11.2.4;2. WEB SERVICES SECURITY BACKGROUND;285
11.2.5;2.1 Message privacy;286
11.2.6;2.2 Message level protection;288
11.2.7;2.3 Message validity;289
11.2.8;2.4 Authentication;291
11.2.9;3. AUTHORIZATION;292
11.2.10;3.1 ACL;293
11.2.11;3.2 RBAC;293
11.2.12;3.3 XACML;296
11.2.13;3.4 WS-Authorization;298
11.2.14;4. ADDING SEMANTICS FOR AUTHORIZATION 4.1 Why use semantics;299
11.2.15;4.2 Ontology;300
11.2.16;4.3 Expressing constraints – extension elements;303
11.2.17;4.4 Constraint comparison;306
11.2.18;5. OTHER APPROACHES;309
11.2.19;6. QUESTIONS FOR DISCUSSION;310
11.2.20;7. SUGGESTED ADDITIONAL READING;311
11.2.21;8. ACKNOWLEDGMENTS;311
11.2.22;9. REFERENCES;311
12;Index;315