Visualizing the Semantic Web
Subtitle: XML-based Internet and Information Visualization
Contributors: Vladimir Geroimenko (Editor); Chaomei Chen (Editor)
Edition: 2nd ed. edition
Publisher: Springer
Published: October 21, 2005
Language: eng
Format: Hardcover
Number of pages: 248
ISBN-13: 9781852339760
Subjects: XML; Computers - General Information; Computer Graphics - General; Computers; Web site development; Computer Books: General; Visualization; Information Technology; Computer Science; Computers / Information Technology; Human-computer interaction; Information retrieval; Information visualization; Interactive multimedia interfaces; Ontologies; Semantic web; Topic maps; Internet
Description: 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.