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Soft Computing in Ontologies and Semantic Web

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Cover of 'Soft Computing in Ontologies and Semantic Web'

Table of Contents

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    Book Overview
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    Chapter 1 BayesOWL: Uncertainty Modeling in Semantic Web Ontologies
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    Chapter 2 Modeling Uncertainty in Semantic Web Taxonomies
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    Chapter 3 A Probabilistic, Logic-Based Framework for Automated Web Directory Alignment
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    Chapter 4 The SP Theory and the Representation and Processing of Knowledge
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    Chapter 5 Dynamic Services for Open Ambient Intelligence Systems
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    Chapter 6 Development of Ontologies by the Lowest Common Abstraction of Terms Using Fuzzy Hypernym Chains
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    Chapter 7 Beyond the Semantic Web: Fuzzy Logic-Based Web Intelligence
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    Chapter 8 An Ontology-Based Method for User Model Acquisition
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    Chapter 9 On Some Problems of Decision-Making Under Uncertainty in the Semantic Web
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    Chapter 10 Automatic Thematic Categorization of Multimedia Documents using Ontological Information and Fuzzy Algebra
Attention for Chapter 2: Modeling Uncertainty in Semantic Web Taxonomies
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Chapter title
Modeling Uncertainty in Semantic Web Taxonomies
Chapter number 2
Book title
Soft Computing in Ontologies and Semantic Web
Published by
Springer, Berlin, Heidelberg, January 2006
DOI 10.1007/978-3-540-33473-6_2
Book ISBNs
978-3-54-033472-9, 978-3-54-033473-6
Authors

Markus Holi, Eero Hyvönen

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