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Ontology Learning for the Semantic Web Book

Ontology Learning for the Semantic Web
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Ontology Learning for the Semantic Web, Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The , Ontology Learning for the Semantic Web
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  • Ontology Learning for the Semantic Web
  • Written by author Alexander Maedche
  • Published by Springer-Verlag New York, LLC, 4/30/2013
  • Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The
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Authors

List of Figures
List of Tables
Preface
Acknowledgements
Foreword
Pt. I Fundamentals
1 Introduction 3
1 Motivation & Problem Description 3
2 Research Questions 4
3 Reader's Guide 6
2 Ontology - Definition & Overview 11
1 Ontologies for Communication - A Layered Approach 15
2 Development & Application of Ontologies 21
3 Layered Ontology Engineering 29
1 Ontology Engineering Framework 30
2 Layered Representation 34
Pt. II Ontology Learning for the Semantic Web
4 Ontology Learning Framework 59
1 A Taxonomy of Relevant Data for Ontology Learning 60
2 An Architecture for Ontology Learning 66
3 Phases of Ontology Learning 73
5 Data Import & Processing 81
1 Importing & Processing Existing Ontologies 83
2 Collecting, Importing & Processing Documents 95
6 Ontology Learning Algorithms 117
1 Algorithms for Ontology Extraction 118
2 Algorithms for Ontology Maintenance 140
Pt. III Implementation & Evaluation
7 The Text-to-Onto Environment 151
1 Component-based Architecture 153
2 Ontology Engineering Environment OntoEdit 154
3 Components for Ontology Learning 163
8 Evaluation 171
1 The Evaluation Approach 172
2 Ontology Comparison Measures 173
3 Human Performance Evaluation 183
4 Ontology Learning Performance Evaluation 190
Pt. IV Related Work & Outlook
9 Related Work 203
1 Related Work on Ontology Engineering 204
2 Related Work on Frameworks of KA & ML 209
3 Related Work on Data Import & Processing 212
4 Related Work on Algorithms 214
5 Related Work on Evaluation 219
10 Conclusion & Outlook 223
1 Contributions 223
2 Insights into Ontology Learning 224
3 Unanswered Questions 225
4 Future Research 226
References 228
Index 242


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Ontology Learning for the Semantic Web, Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The , Ontology Learning for the Semantic Web

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Ontology Learning for the Semantic Web, Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The , Ontology Learning for the Semantic Web

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Ontology Learning for the Semantic Web, Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The , Ontology Learning for the Semantic Web

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