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Current Trends in Semantic Web Technologies: Theory and Practice

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Cover of 'Current Trends in Semantic Web Technologies: Theory and Practice'

Table of Contents

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    Book Overview
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    Chapter 1 Personalization of Ontologies Visualization: Use Case of Diabetes
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    Chapter 2 Semantic Data Integration of Big Biomedical Data for Supporting Personalised Medicine
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    Chapter 3 Interaction Net as a Representation Model of a Programming Language
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    Chapter 4 An Adaptive Trust Model for Achieving Emergent Cooperation in Ad Hoc Networks
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    Chapter 5 Operational Risk Identification in Ground Transportation Activities: Ontology—Approach
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    Chapter 6 Challenges in RDF Validation
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    Chapter 7 A Bayesian Network Model for the Parkinson’s Disease: A Study of Gene Expression Levels
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    Chapter 8 Use of Sentiment Analysis Techniques in Healthcare Domain
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    Chapter 9 Medic-Us: Advanced Social Networking for Intelligent Medical Services and Diagnosis
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    Chapter 10 Semantic PHI-Base Web Interface: A Web Tool to Interact and Visualize Plant-Pathogen Interactions Data
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    Chapter 11 FASELOD: A Faceted Search Engine in Linked Open Datasets Using Voice Recognition
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    Chapter 12 ARLOD: Augmented Reality Mobile Application Integrating Information Obtained from the Linked Open Drug Data
Attention for Chapter 4: An Adaptive Trust Model for Achieving Emergent Cooperation in Ad Hoc Networks
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Citations

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Readers on

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9 Mendeley
Summary Dimensions citations
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Chapter title
An Adaptive Trust Model for Achieving Emergent Cooperation in Ad Hoc Networks
Chapter number 4
Book title
Current Trends in Semantic Web Technologies: Theory and Practice
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-06149-4_4
Book ISBNs
978-3-03-006148-7, 978-3-03-006149-4
Authors

Diego A. Vega, Juan P. Ospina, Julian F. Latorre, Jorge E. Ortiz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 44%
Researcher 2 22%
Unspecified 1 11%
Unknown 2 22%
Readers by discipline Count As %
Engineering 3 33%
Computer Science 3 33%
Unspecified 1 11%
Unknown 2 22%

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