Ontology Alignment

Bridging the Semantic Gap

By: Marc Ehrig

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Hardcover | 12 October 2006

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268 Pages

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23.5 x 15.88 x 1.91

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A large number of information systems use many different individual schemas to represent data. Semantically linking these schemas is a necessary precondition to establish interoperability between agents and services. Consequently, ontology alignment and mapping for data integration has become central to building a world-wide semantic web.

Ontology Alignment: Bridging the Semantic Gap introduces novel methods and approaches for semantic integration. In addition to developing new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. The topic of this book, coupled with the application-focused methodology, will appeal to professionals from a number of different domains.

Designed for practitioners and researchers in industry, Ontology Alignment: Bridging the Semantic Web Gap is also suitable for advanced-level students in computer science and electrical engineering.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Networking & Communications Databases Computer Science Artificial Intelligence Digital Lifestyle & Online World: Consumer & User Guides Internet Guides & Online Services Computer Hardware Network Hardware Graphical & Digital Media Applications Economics

Microeconomics Domestic Trade Business Applications Information Technology General Issue Business & Management Business Aspects of E-Commerce

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Paperback

Published: 19th November 2010

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Preface	p. xv
Acknowledgements	p. xvii
Introduction and Overview	p. 1
Motivation	p. 1
Contribution	p. 3
Problem Outline	p. 3
Solution Pathway	p. 4
Overview	p. 5
Structure	p. 5
Reader's Guide	p. 6
Foundations
Definitions	p. 11
Ontology	p. 11
Ontology Definition	p. 11
Semantic Web and Web Ontology Language (OWL)	p. 14
Ontology Example	p. 16
Ontology Alignment	p. 19
Ontology Alignment Definition	p. 19
Ontology Alignment Representation	p. 20
Ontology Alignment Example	p. 21
Related Terms	p. 23
Ontology Similarity	p. 25
Ontology Similarity Definition	p. 25
Similarity Layers	p. 26
Specific Similarity Measures	p. 28
Similarity in Related Work	p. 34
Heuristic Definition	p. 34
Scenarios	p. 37
Use Cases	p. 37
Alignment Discovery	p. 38
Agent Negotiation / Web Service Composition	p. 38
Data Integration	p. 39
Ontology Evolution / Versioning	p. 40
Ontology Merging	p. 40
Query and Answer Rewriting / Mapping	p. 41
Reasoning	p. 42
Requirements	p. 42
Related Work	p. 45
Theory of Alignment	p. 45
Algebraic Approach	p. 45
Information-Flow-based Approach	p. 46
Translation Framework	p. 47
Existing Alignment Approaches	p. 47
Classification Guidelines for Alignment Approaches	p. 47
Ontology Alignment Approaches	p. 49
Schema Alignment Approaches	p. 53
Global as View / Local as View	p. 56
Ontology Alignment Approach
Process	p. 61
General Process	p. 61
Alignment Approach	p. 64
Input	p. 64
Feature Engineering	p. 65
Search Step Selection	p. 67
Similarity Computation	p. 68
Similarity Aggregation	p. 69
Interpretation	p. 72
Iteration	p. 74
Output	p. 75
Process Description of Related Approaches	p. 76
Prompt, Anchor-Prompt	p. 76
Glue	p. 78
Ola	p. 79
Evaluation of Alignment Approach	p. 81
Evaluation Scenario	p. 81
Evaluation Measures	p. 82
Absolute Quality	p. 88
Data Sets	p. 88
Strategies	p. 91
Results	p. 92
Discussion and Lessons Learned	p. 95
Advanced Methods	p. 97
Efficiency	p. 97
Challenge	p. 97
Complexity	p. 98
An Efficient Approach	p. 100
Evaluation	p. 104
Discussion and Lessons Learned	p. 106
Machine Learning	p. 107
Challenge	p. 107
Machine Learning for Ontology Alignment	p. 108
Runtime Alignment	p. 113
Explanatory Component of Decision Trees	p. 114
Evaluation	p. 115
Discussion and Lessons Learned	p. 117
Active Alignment	p. 119
Challenge	p. 119
Ontology Alignment with User Interaction	p. 120
Evaluation	p. 121
Discussion and Lessons Learned	p. 123
Adaptive Alignment	p. 124
Challenge	p. 124
Overview	p. 125
Create Utility Function	p. 125
Derive Requirements for Result Dimensions	p. 127
Derive Parameters	p. 128
Example	p. 131
Evaluation	p. 132
Discussion and Lessons Learned	p. 133
Integrated Approach	p. 135
Integrating the Individual Approaches	p. 135
Summary of Ontology Alignment Approaches	p. 136
Evaluation	p. 136
Discussion and Lessons Learned	p. 138
Implementation and Application
Tools	p. 145
Basic Infrastructure for Ontology Alignment and Mapping-Foam	p. 145
User Example	p. 145
Process Implementation	p. 146
Underlying Software	p. 147
Availability and Open Usage	p. 148
Summary	p. 149
Ontology Mapping Based on Axioms	p. 149
Logics and Inferencing	p. 150
Formalization of Similarity Rules as Logical Axioms	p. 151
Evaluation	p. 152
Integration into Ontology Engineering Platform	p. 153
OntoStudio	p. 153
OntoMap	p. 154
Foam in OntoMap	p. 155
Semantic Web and Peer-to-Peer - SWAP	p. 157
Project Description	p. 157
Core Technologies	p. 158
Case Studies	p. 159
Bibster	p. 159
Scenario	p. 160
Design	p. 160
Ontology Alignment / Duplicate Detection	p. 163
Application	p. 166
Xarop	p. 167
Scenario	p. 167
Design	p. 169
Ontology Alignment	p. 173
Application	p. 174
Semantically Enabled Knowledge Technologies - SEKT	p. 175
Project Description	p. 175
Core Technologies	p. 176
Case Studies	p. 176
Ontology Alignment	p. 176
Intelligent Integrated Decision Support for Legal Professionals	p. 177
Scenario	p. 177
Use Cases	p. 177
Design	p. 178
Retrieving and Sharing Knowledge in a Digital Library	p. 179
Scenario	p. 179
Use Cases	p. 179
Design	p. 180
Heterogeneous Groups in Consulting	p. 180
Scenario	p. 180
Use Cases	p. 180
Design	p. 181
Towards Next Generation Semantic Alignment
Next Steps	p. 185
Generalization	p. 185
Situation	p. 185
Generalized Process	p. 186
Alignment of Petri Nets	p. 187
Summary	p. 191
Complex Alignments	p. 192
Situation	p. 192
Types of Complex Alignments	p. 193
Extended Process for Complex Alignments	p. 194
Implementation and Discussion	p. 195
Future	p. 197
Outlook	p. 197
Limits for Alignment	p. 199
Errors	p. 199
Points of Mismatch	p. 200
Implications	p. 201
Conclusion	p. 203
Content Summary	p. 203
Assessment of Contribution	p. 205
Final Statements	p. 207
Appendix
Ontologies	p. 211
Complete Evaluation Results	p. 215
Foam Tool Details	p. 221
Short description	p. 221
Download and Installation	p. 221
Usage	p. 222
Web Service	p. 222
Parameters	p. 222
Additional features of the tool	p. 224
References	p. 227
Index	p. 245
Table of Contents provided by Ingram. All Rights Reserved.

Ontology Alignment

Bridging the Semantic Gap

At a Glance

Hardcover

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