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More About This Textbook
Overview
Information infrastructures are integrated solutions based on the fusion of information and communication technologies. They are characterized by the large amount of data that must be managed accordingly. An information infrastructure requires an efficient and effective information retrieval system to provide access to the items stored in the infrastructure. Terminological Ontologies: Design, Management and Practical Applications presents the main problems the affect the discovery systems of information infrastructures to manage terminological models, and introduces a combination of research tools and applications in Semantic Web technologies. This book specifically analyzes the need to create, relate, and integrate the models required for an infrastructure by elaborating on the problem of accessing these models in an efficient manner via interoperable services and components.
About this book:
Includes the common framework for integration of terminological models into information infrastructures, covering the different management steps (acquisition, storage, and access).
Provides a revision of the main requirements of terminological models in different information retrieval systems and proposes integration solutions to facilitate and simplify its management.
"This book is essential for those who will have to create ontologies from existing terminological databases," comments Dr. Jacques Teller, University Of Liege, Belgium.
Terminological Ontologies: Design, Management and Practical Applications is geared toward information management systems and semantic web professionals working as project managers, application developers, government workers and more. Advanced undergraduate and graduate level students, professors and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.
Editorial Reviews
From the Publisher
From the reviews:
“Handling terminology in designing and building an ontology is not only a support activity within a larger activity, but it can also create an ontology in its own right. This slim, but thorough, volume addresses this problem. … includes several important developments from Europe that will be valuable and useful to a non-European readership. … it covers a lot of material. It is dense, but well organized. Anyone working on ontology engineering can benefit by studying this book … .” (Anthony J. Duben, ACM Computing Reviews, May, 2011)
Product Details
Table of Contents
1 Ontology basic concepts 1
1.1 Introduction 1
1.2 Ontology families 2
1.3 Ontology classification 3
1.3.1 Controlled vocabularies 5
1.3.2 Glossaries 6
1.3.3 Subject headings and taxonomies 6
1.3.4 Thesauri 8
1.3.5 Semantic Networks 12
1.3.6 Is-a Hierarchies and Formal Instances 14
1.3.7 Frame based ontologies 15
1.3.8 General Constraints and Disjointness 17
1.4 Alignment of ontologies and ontology mappings 18
1.5 Summary 24
2 A representation framework for terminological ontologies 25
2.1 Introduction 25
2.2 Related work in the representation of terminological ontologies 26
2.2.1 Representation of knowledge models 26
2.2.2 Representation of mappings 28
2.3 Representation of terminological ontologies 32
2.3.1 Knowledge model representation 32
2.3.2 Metadata for ontology description 37
2.4 Representation of ontology mappings 41
2.4.1 Mapping representation 41
2.4.2 Metadata for mapping description 45
2.5 Case of study: Mapping of terminological ontologies to an upper level ontology 49
2.6 Summary 53
3 Ontology learning for terminological ontologies 55
3.1 Introduction 55
3.2 Ontology learning from corpora 56
3.3 Ontology learning from dictionaries 57
3.4 Ontology learning from schemata 58
3.5 Ontology learning from thesauri 59
3.6 Cases of study 61
3.6.1 Transformation of heterogeneous thesaurus representations into terminological ontologies 62
3.6.2 Terminological ontologies as a result of thesaurus merging 76
3.7 Summary 96
4 Formalization of terminological ontologies 99
4.1 Introduction 99
4.2 Current approaches towards formalization 100
4.3 Increase of formalism in terminological models 102
4.4 Application of the formalization process 104
4.5 Summary 106
5 Access to terminological ontologies 107
5.1 Introduction 107
5.2 Terminological ontology management 108
5.3 Terminological ontology storage and access 112
5.3.1 Architecture 112
5.3.2 Terminological ontology repository 113
5.3.3 Terminological ontology manager 116
5.4 Edition of terminological ontologies 117
5.5 Accessing terminological ontologies through a web service 123
5.6 Performance analysis 125
5.7 Summary 128
6 Applicability of terminological ontologies to information retrieval 131
6.1 Introduction 131
6.2 Resource classification 132
6.3 Improvement of information discovery through query expansion 134
6.3.1 State of the art in query expansion 135
6.3.2 A proposal for terminological based query expansion 137
6.3.3 Testing the retrieval model 143
6.4 Information browsing 148
6.4.1 State of the art in information browsing approaches 149
6.4.2 Topic map based browsing 151
6.4.3 Cluster based browsing 154
6.4.4 Browsing methods comparison 159
6.5 Summary 166
7 Concluding remarks and outlook 169
References 177
Index 193