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Preface
8
Acknowledgements
14
Contents
16
Chapter 1 Ontology basic concepts
20
1.1 Introduction
20
1.2 Ontology families
21
1.3 Ontology classification
22
1.3.1 Controlled vocabularies
24
1.3.2 Glossaries
25
1.3.3 Subject headings and taxonomies
25
1.3.4 Thesauri
27
1.3.5 Semantic Networks
31
1.3.6 Is-a Hierarchies and Formal Instances
33
1.3.7 Frame based ontologies
34
1.3.8 General Constraints and Disjointness
36
1.4 Alignment of ontologies and ontology mappings
37
1.5 Summary
43
Chapter 2 A representation framework for terminological ontologies
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2.1 Introduction
44
2.2 Related work in the representation of terminological ontologies
45
2.2.1 Representation of knowledge models
45
2.2.2 Representation of mappings
47
2.3 Representation of terminological ontologies
51
2.3.1 Knowledge model representation
51
2.3.2 Metadata for ontology description
56
2.4 Representation of ontology mappings
60
2.4.1 Mapping representation
60
2.4.2 Metadata for mapping description
64
2.5 Case of study: Mapping of terminological ontologies to an upper level ontology
68
2.6 Summary
72
Chapter 3 Ontology learning for terminological ontologies
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3.1 Introduction
73
3.2 Ontology learning from corpora
74
3.3 Ontology learning from dictionaries
75
3.4 Ontology learning from schemata
76
3.5 Ontology learning from thesauri
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3.6 Cases of study
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3.6.1 Transformation of heterogeneous thesaurus representations into terminological ontologies
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3.6.1.1 Description of the method
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Analysis of the source and target formats
81
Mapping between source and target model
85
Creation of the translation tool
87
Validation of the translated terminological ontology
90
Management of the translation tool
92
3.6.1.2 Testing the method
93
3.6.2 Terminological ontologies as a result of thesaurus merging
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3.6.2.1 Proposed merging process
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Harmonization of the interchange format
97
Extraction of clusters
98
Mapping & merging
99
Pruning of non-relevant clusters
100
Generation of a domain network of clusters
101
Generation of inter-cluster relations
102
Pruning of non-relevant relations
103
Generation of a new domain thematic thesaurus
103
3.6.2.2 Testing the method
106
Testing the method in the urban domain
106
Testing the method in the hydrological domain
111
3.7 Summary
114
Chapter 4 Formalization of terminological ontologies
116
4.1 Introduction
116
4.2 Current approaches towards formalization
117
4.3 Increase of formalism in terminological models
119
4.4 Application of the formalization process
121
4.5 Summary
123
Chapter 5 Access to terminological ontologies
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5.1 Introduction
124
5.2 Terminological ontology management
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5.3 Terminological ontology storage and access
129
5.3.1 Architecture
129
5.3.2 Terminological ontology repository
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5.3.3 Terminological ontology manager
133
5.4 Edition of terminological ontologies
134
5.5 Accessing terminological ontologies through a web service
140
5.6 Performance analysis
142
5.7 Summary
145
Chapter 6 Applicability of terminological ontologies to information retrieval
148
6.1 Introduction
148
6.2 Resource classification
149
6.3 Improvement of information discovery through query expansion
151
6.3.1 State of the art in query expansion
152
6.3.2 A proposal for terminological based query expansion
154
6.3.2.1 General context
154
6.3.2.2 Proposed expansion model
157
6.3.3 Testing the retrieval model
160
6.4 Information browsing
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6.4.1 State of the art in information browsing approaches
166
6.4.2 Topic map based browsing
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6.4.3 Cluster based browsing
171
6.4.3.1 Selection of algorithms for hard and fuzzy clustering
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6.4.3.2 Thematic clustering using the thesaurus structure
173
6.4.3.3 Thematic clustering using keywords as free text
175
6.4.4 Browsing methods comparison
176
6.4.4.1 Description of the metadata corpus
176
6.4.4.2 Topic map extraction
176
6.4.4.3 Application of clustering techniques
177
Thematic clustering using the thesaurus structure
178
6.4.4.4 Comparison of results
181
6.5 Summary
183
Chapter 7 Concluding remarks and outlook
186
References
194
Index
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