↓ Skip to main content

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
  5. Altmetric Badge
    Chapter 4 An Approach to Probabilistic Data Integration for the Semantic Web
  6. Altmetric Badge
    Chapter 5 Rule-Based Approaches for Representing Probabilistic Ontology Mappings
  7. Altmetric Badge
    Chapter 6 PR-OWL: A Bayesian Ontology Language for the Semantic Web
  8. Altmetric Badge
    Chapter 7 Discovery and Uncertainty in Semantic Web Services
  9. Altmetric Badge
    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
  12. Altmetric Badge
    Chapter 11 A Crisp Representation for Fuzzy $\cal SHOIN$ with Fuzzy Nominals and General Concept Inclusions
  13. Altmetric Badge
    Chapter 12 Optimizing the Crisp Representation of the Fuzzy Description Logic $\cal \mathcal{SROIQ}$
  14. Altmetric Badge
    Chapter 13 Uncertainty Issues and Algorithms in Automating Process Connecting Web and User
  15. Altmetric Badge
    Chapter 14 Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach
  16. Altmetric Badge
    Chapter 15 A Fuzzy Semantics for the Resource Description Framework
  17. Altmetric Badge
    Chapter 16 Reasoning with the Fuzzy Description Logic f- $\mathcal{SHIN}$ : Theory, Practice and Applications
  18. Altmetric Badge
    Chapter 17 Towards Machine Learning on the Semantic Web
  19. Altmetric Badge
    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 17: Towards Machine Learning on the Semantic Web
Altmetric Badge

Mentioned by

blogs
1 blog

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
98 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Towards Machine Learning on the Semantic Web
Chapter number 17
Book title
Uncertainty Reasoning for the Semantic Web I
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-89765-1_17
Book ISBNs
978-3-54-089764-4, 978-3-54-089765-1
Authors

Volker Tresp, Markus Bundschus, Achim Rettinger, Yi Huang

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Belgium 1 1%
Germany 1 1%
Australia 1 1%
Spain 1 1%
Greece 1 1%
Colombia 1 1%
Croatia 1 1%
Other 0 0%
Unknown 87 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 29%
Student > Master 19 19%
Researcher 18 18%
Student > Doctoral Student 7 7%
Student > Bachelor 7 7%
Other 14 14%
Unknown 5 5%
Readers by discipline Count As %
Computer Science 78 80%
Engineering 5 5%
Business, Management and Accounting 3 3%
Medicine and Dentistry 2 2%
Economics, Econometrics and Finance 1 1%
Other 2 2%
Unknown 7 7%