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Visualizing the Semantic Web

Overview of attention for book
Cover of 'Visualizing the Semantic Web'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Concept and Architecture of the Semantic Web
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    Chapter 2 Information Visualization and the Semantic Web
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    Chapter 3 Ontology-Based Information Visualization: Toward Semantic Web Applications
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    Chapter 4 Topic Maps, RDF Graphs, and Ontologies Visualization
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    Chapter 5 Web Services: Description, Interfaces, and Ontology
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    Chapter 6 Recommender Systems for the Web
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    Chapter 7 SVG and X3D: New XML Technologies for 2D and 3D Visualization
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    Chapter 8 Using Graphically Represented Ontologies for Searching Content on the Semantic Web
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    Chapter 9 Adapting Graph Visualization Techniques for the Visualization of RDF Data
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    Chapter 10 Spring-Embedded Graphs for Semantic Visualization
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    Chapter 11 Semantic Association Networks: Using Semantic Web Technology to Improve Scholarly Knowledge and Expertise Management
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    Chapter 12 Interactive Interfaces for Mapping E-Commerce Ontologies
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    Chapter 13 Visualizing the Semantic Web
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    Chapter 14 Social Network Analysis on the Semantic Web: Techniques and Challenges for Visualizing FOAF
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    Chapter 15 Concluding Remarks: Today’s Vision of Envisioning the Semantic Future
Attention for Chapter 7: SVG and X3D: New XML Technologies for 2D and 3D Visualization
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Readers on

mendeley
6 Mendeley
Summary
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Chapter title
SVG and X3D: New XML Technologies for 2D and 3D Visualization
Chapter number 7
Book title
Visualizing the Semantic Web
Published by
Springer, London, January 2006
DOI 10.1007/1-84628-290-x_7
Book ISBNs
978-1-85233-976-0, 978-1-84628-290-4
Authors

Vladimir Geroimenko, Larissa Geroimenko

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Researcher 2 33%
Professor > Associate Professor 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Unknown 1 17%

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