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Uncertainty Reasoning for the Semantic Web I

Overview of attention for book
Cover of 'Uncertainty Reasoning for the Semantic Web I'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Just Add Weights: Markov Logic for the Semantic Web
  3. Altmetric Badge
    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
  10. Altmetric Badge
    Chapter 9 Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies
  11. Altmetric Badge
    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
  20. Altmetric Badge
    Chapter 19 Analogical Reasoning in Description Logics
  21. Altmetric Badge
    Chapter 20 Approximate Measures of Semantic Dissimilarity under Uncertainty
  22. Altmetric Badge
    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 3: Uncertainty Reasoning for the Semantic Web I
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog

Citations

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4 Dimensions

Readers on

mendeley
7 Mendeley
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Chapter title
Uncertainty Reasoning for the Semantic Web I
Chapter number 3
Book title
Uncertainty Reasoning for the Semantic Web I
Published in
Lecture notes in computer science, January 2008
DOI 10.1007/978-3-540-89765-1_3
Book ISBNs
978-3-54-089764-4, 978-3-54-089765-1
Authors

Paulo Cesar G. da Costa, Claudia d’Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool, Paolo Besana, Dave Robertson, Besana, Paolo, Robertson, Dave

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 86%
Researcher 3 43%
Student > Doctoral Student 1 14%
Other 1 14%
Professor > Associate Professor 1 14%
Other 1 14%
Readers by discipline Count As %
Computer Science 13 186%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2008.
All research outputs
#5,659,806
of 22,851,489 outputs
Outputs from Lecture notes in computer science
#1,818
of 8,126 outputs
Outputs of similar age
#31,465
of 156,381 outputs
Outputs of similar age from Lecture notes in computer science
#26
of 85 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 156,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.