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Visualizing the Semantic Web

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Cover of 'Visualizing the Semantic Web'

Table of Contents

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    Book Overview
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    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 12: Interactive Interfaces for Mapping E-Commerce Ontologies
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Citations

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Readers on

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3 Mendeley
Summary Dimensions citations
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Chapter title
Interactive Interfaces for Mapping E-Commerce Ontologies
Chapter number 12
Book title
Visualizing the Semantic Web
Published by
Springer, London, January 2006
DOI 10.1007/1-84628-290-x_12
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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Earth and Planetary Sciences 1 33%

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