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Uncertainty Reasoning for the Semantic Web I

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Cover of 'Uncertainty Reasoning for the Semantic Web I'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Just Add Weights: Markov Logic for the Semantic Web
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    Chapter 2 Semantic Science: Ontologies, Data and Probabilistic Theories
  4. Altmetric Badge
    Chapter 3 Uncertainty Reasoning for the Semantic Web I
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    Chapter 4 An Approach to Probabilistic Data Integration for the Semantic Web
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    Chapter 5 Rule-Based Approaches for Representing Probabilistic Ontology Mappings
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    Chapter 6 PR-OWL: A Bayesian Ontology Language for the Semantic Web
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    Chapter 7 Discovery and Uncertainty in Semantic Web Services
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    Chapter 8 An Approach to Description Logic with Support for Propositional Attitudes and Belief Fusion
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    Chapter 9 Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies
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    Chapter 10 An Ontology-Based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines
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    Chapter 11 A Crisp Representation for Fuzzy $\cal SHOIN$ with Fuzzy Nominals and General Concept Inclusions
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    Chapter 12 Optimizing the Crisp Representation of the Fuzzy Description Logic $\cal \mathcal{SROIQ}$
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    Chapter 13 Uncertainty Issues and Algorithms in Automating Process Connecting Web and User
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    Chapter 14 Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach
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    Chapter 15 A Fuzzy Semantics for the Resource Description Framework
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    Chapter 16 Reasoning with the Fuzzy Description Logic f- $\mathcal{SHIN}$ : Theory, Practice and Applications
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    Chapter 17 Towards Machine Learning on the Semantic Web
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    Chapter 18 Using Cognitive Entropy to Manage Uncertain Concepts in Formal Ontologies
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    Chapter 19 Analogical Reasoning in Description Logics
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    Chapter 20 Approximate Measures of Semantic Dissimilarity under Uncertainty
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    Chapter 21 Ontology Learning and Reasoning — Dealing with Uncertainty and Inconsistency
  23. Altmetric Badge
    Chapter 22 Uncertainty Reasoning for Ontologies with General TBoxes in Description Logic
Attention for Chapter 20: Approximate Measures of Semantic Dissimilarity under Uncertainty
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Chapter title
Approximate Measures of Semantic Dissimilarity under Uncertainty
Chapter number 20
Book title
Uncertainty Reasoning for the Semantic Web I
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-89765-1_20
Book ISBNs
978-3-54-089764-4, 978-3-54-089765-1
Authors

Nicola Fanizzi, Claudia d’Amato, Floriana Esposito, Fanizzi, Nicola, d’Amato, Claudia, Esposito, Floriana

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 5 23%
Student > Doctoral Student 2 9%
Professor 2 9%
Student > Bachelor 1 5%
Other 5 23%
Readers by discipline Count As %
Computer Science 21 95%
Nursing and Health Professions 1 5%