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Visualizing the Semantic Web: XML-based Internet and Information Visualization
 
 
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Visualizing the Semantic Web: XML-based Internet and Information Visualization [Hardcover]

Vladimir Geroimenko (Editor), Chaomei Chen (Editor)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

1852339764 978-1852339760 October 21, 2005 2nd
The Web is undergoing revolutionary changes – its second generation is emerging. The key player in the new generation is not HTML but XML (this is why it is also known as "the XML-based Web"). If the appearance of web pages is a major concern in the first generation, then the meaning (or semantics) of information on the Web is the focus of the second generation, which is why it is also called "the Semantic Web." The new edition of the pioneering monograph on Visualising the Semantic Web has undergone a number of changes in order to reflect recent research results, web standards, developments and trends. In this new edition, 2 chapters have been removed, 4 new chapters have been added and the 10 remaining chapters have been completely revised and updated.

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Editorial Reviews

Review

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)

From the Back Cover

This pioneering book deals specifically with the visualization of the Second-Generation Web. Now in its second edition it has been completely revised and updated, and includes extensive new material. It focuses on key topics including: • Visualization of semantic and structural information and metadata in the context of the emerging Semantic Web • Ontology-based information visualization and the use of graphically represented ontologies • Semantic visualizations using topic maps and graph techniques • Web Services, e-commerce and web search applications • Recommender systems for filtering and recommending on the Semantic Web • SVG and X3D as new XML-based languages for 2D and 3D visualisations • Methods used to construct and visualize high quality metadata and ontologies • Navigating and exploring XML documents using interactive multimedia interfaces • The use of semantic association networks as well as social networks on the Second-Generation Web • Semantically enhanced solutions for the medical community • Semantic-oriented use of existing visualization methods The design of visual interfaces for e-commerce and information retrieval is currently a challenging area of practical web development. Most of the techniques and methods discussed can be applied now, making this book essential reading for web developers and end users as well as visualisation researchers.

Product Details

  • Hardcover: 262 pages
  • Publisher: Springer; 2nd edition (October 21, 2005)
  • Language: English
  • ISBN-10: 1852339764
  • ISBN-13: 978-1852339760
  • Product Dimensions: 9.3 x 6.6 x 0.8 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,695,245 in Books (See Top 100 in Books)

 

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11 of 14 people found the following review helpful:
4.0 out of 5 stars your data does not have to be in XML format, July 16, 2006
This review is from: Visualizing the Semantic Web: XML-based Internet and Information Visualization (Hardcover)
If you are analysing various XML-encoded data, and am overwhelmed with the sheer mass of it all, you have probably wondered about displaying it. The problem is that there are an infinite number of ways to display data.

This book can only describe a small, finite number of display ideas. But it may well be worth your while to at least quickly thumb through the chapters. Various authors offer different takes on their data sets. The book also has some nice colour plates showing results.

In the book's title, you can ignore Semantic Web if you so choose. The key thing is supposedly that you have XML data. But it turns out that even this is not a necessary restriction. One way to read this book is to look for different data visualisation ideas. If you find one that is promising, you then have to reimplement it for your data structures.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
situational recommender, semantic association networks, glyph mapper, simple graphical search, museum schema, social metadata, embedder algorithm, native visualizations, graphical ontologies, graphical ontology, ontologies visualization, visualization scenarios, patent citation analysis, slice instances, recommender systems, semantic web, pain drawings, information visualization, implicit ratings, pain data, semantic knowledge base, social navigation, information visualisation, autonomous software agents, semantic graph
Key Phrases - Capitalized Phrases (CAPs): (learn more)
World Wide Web, Cluster Map, International Conference, New York, Resource Description Framework, Computing Systems, Intelligent Systems, Macromedia Flash, Ontology Translator, Tim Berners-Lee, Big Science, Document Object Model, Dublin Core, Eugene Garfield, John Wiley, Morgan Kaufmann, Computer Society, Human Factors, International Symposium, Little Science, Prentice Hall, Retrieved August, Scalable Vector Graphics, Web of Science, Agent Markup Language
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