Visualizing the Semantic Web

1. Front Matter

   Pages i-ix

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2. Semantic, Visual and Technological Facets of the Second Generation Web

   1. Front Matter

      Pages 1-1

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   2. The XML Revolution and the Semantic Web

      • Vladimir Geroimenko

      Pages 3-14

   3. Information Visualization Versus the Semantic Web

      • Chaomei Chen

      Pages 15-35

   4. Ontology-based Information Visualization

      • Christiaan Fluit, Marta Sabou, Frank van Harmelen

      Pages 36-48

   5. Topic Maps Visualization

      • Bénédicte Le Grand, Michel Soto

      Pages 49-62

   6. Web Rendering Systems: Techniques, Classification Criteria and Challenges

      • Stephen Kimani, Tiziana Catarci, Isabel Cruz

      Pages 63-89

   7. SVG and X3D: New XML Technologies for 2D and 3D Visualization

      • Vladimir Geroimenko, Larissa Geroimenko

      Pages 90-96

3. Visual Techniques and Applications for the Semantic Web

   1. Front Matter

      Pages 97-97

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   2. Visual Interfaces for Semantic Information Retrieval and Browsing

      • Katy Börner

      Pages 99-115

   3. Interactive Visualization of Paragraph-level Metadata to Support Corporate Document Use

      • Mischa Weiss-Lijn, Janet T. McDonnell, Leslie James

      Pages 116-134

   4. Web Services: Description, Interfaces and Ontology

      • Alexander Nakhimovsky, Tom Myers

      Pages 135-150

   5. Recommender Systems for the Web

      • Joseph A. Konstan, John T. Riedl

      Pages 151-167

   6. Interactive Interfaces for Mapping E-commerce Ontologies

      • Vladimir Geroimenko, Larissa Geroimenko

      Pages 168-179

   7. Using Scalable Vector Graphics and Geographical Information Systems in a Back Pain Study

      • Gheorghita Ghinea, David Gill

      Pages 180-197

   8. Concluding Remarks: Today’s Vision of Envisioning the Semantic Future

      • Vladimir Geroimenko, Chaomei Chen

      Pages 198-199

4. Back Matter

   Pages 201-202

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Vladimir Geroimenko and Chaomei Chen The Semantic Web is avision that has sparked a wide-ranging enthusiasm for a new generation of the Web. The Semantic Web is happening. The central idea of this vision is to make the Web more understandable to computer programs so that people can make more use of this gigantic asset. The use of metadata (data about data) can clearly indicate the meaning of data on the Web so as to provide computers with enough information to handle such data. On the future Web, many additionallayers will be required if we want computer programs to handle the semantics (the meaning of data) properly without human intervention. Such layers should deal with the hierarchical relationships between meanings, their similarities and differences, logical rules for making new inferences from the existing data and metadata, etc. Dozens of new technologies have emerged recently to implement these ideas. XML (eXtensible Markup Language) forms the foundation of the future Web, RDF (Resource Description Framework), Topic Maps and many other technologies help to erect a "multi­ storey" building of the Semantic Web layer by layer by adding new features and new types of metadata. According to Tim Berners-Lee, the inventor of the current Web and the Semantic Web, it may take up to ten years to complete the building. The new Web will be much more complex than the current one and will contain enormous amounts of metadata as weIl as data.

• 3D
• SVG
• Scalable Vector Graphics (SVG)
• XML
• classification
• e-commerce
• graphics
• information system
• information visualization
• multimedia
• rendering
• techniques
• vector graphics
• visualization
• web services

From the reviews of the second edition:

"Extensible Markup Language (XML) is the basis of the semantic Web’s metadata. … The production quality of the book is quite high, featuring high-gloss paper and containing numerous intriguing color screen shots of visualization outputs … . the book does a good job of providing an understanding of the semantic web, presenting its vision and an overview of research into its visualization." (A. E. Salwin, Computing Reviews, December, 2006)

• School of Computing, University of Plymouth, Plymouth, UK

  Vladimir Geroimenko

• College of Information Science and Technology, Drexel University, Philadelphia, USA

  Chaomei Chen

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