| Visualizing the Semantic Web: XML-Based Internet and Information Visualization 2006 Edition Contributor(s): Geroimenko, Vladimir (Editor), Chen, Chaomei (Editor) |
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ISBN: 1852339764 ISBN-13: 9781852339760 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: October 2005 Annotation: The Web has evolved from HTML quite dramatically over the last few years with revolutionary techniques for content and structural modeling, including XML (eXtensible Markup Language), OWL (Web Ontology Language), RDF (Resource Definition Framework) and Topic Maps. Compared to HTML, the content of XML documents is enriched with semantic and structural features, completely separated from its visual appearance. This allows a web document to be displayed in any desired form. Given such an unrestricted choice, many companies and end users prefer a graphically rich document appearance with effective visual access to semantic and structural information. The first edition of Visualizing the Semantic Web: XML-based Internet and Information Visualization, published in 2002, was the first ever monograph on the visualization of the emerging new generation of the Web. The current second edition has undergone the following changes: 2 chapters have been removed, 4 new chapters have been added and the 10 remaining chapters have been completely revised and updated. The current edition of the book presents the state-of-the-art research in the emerging field and focuses on key topics such as: Visualization of semantic and structural information and metadata Exploring and querying XML documents using interactive multimedia interfaces Topic Maps visualizations Visual modeling of XML/RDF/OWL ontologies and schemas Rendering and viewing of XML documents SVG/X3D as new visualization techniques for the Semantic Web Methods used to construct high quality metadata / metadata taxonomies Recommender systems, interface issues related to filtering and recommending on the Web Semantic-oriented use of existingvisualization methods Web services, e-commerce and web search applications Semantically enhanced solutions for the medical community The design of XML-based interfaces for information retrieval, e-commerce etc 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 XML and Web developers as well as visualization researchers. |
| Additional Information |
| BISAC Categories: - Computers | Information Technology - Computers | Computer Science - Computers | Computer Graphics |
| Dewey: 006.76 |
| Physical Information: 0.79" H x 6.56" W x 9.3" (1.97 lbs) 264 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The Semantic Web is a vision that has sparked a wide-ranging enthusiasm for a new generation of the Web. The Semantic Web is happening. The central idea of that 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 enough information to handle such data. On the future Web, many additional layers will be required if we want computer programs to handle the semantics (the meaning of data) properly without human - tervention. Such layers should deal with the hierarchical relationships between me- ings, their similarities and differences, logical rules for making new inferences from the existing data and metadata, and so on. 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), OWL (Web Ontology Language) and many other technologies help to erect a "multistory" bui- ing 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 well as data. |