Visualizing the Semantic Web

XML-based Internet and Information Visualization
Softcover Nachdruck of hardcover 2. Auflage 2006
ISBN: 978-1-84996-985-7
Verlag: Springer

Buch, Englisch, 248 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Chen, Chaomei

Geroimenko, Vladimir

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

Semantic, Visual, and Technological Facets of the Second-Generation Web.- The Concept and Architecture of the Semantic Web.- Information Visualization and the Semantic Web.- Ontology-Based Information Visualization: Toward Semantic Web Applications.- Topic Maps, RDF Graphs, and Ontologies Visualization.- Web Services: Description, Interfaces, and Ontology.- Recommender Systems for the Web.- SVG and X3D: New XML Technologies for 2D and 3D Visualization.- Visual Techniques and Applications for the Semantic Web.- Using Graphically Represented Ontologies for Searching Content on the Semantic Web.- Adapting Graph Visualization Techniques for the Visualization of RDF Data.- Spring-Embedded Graphs for Semantic Visualization.- Semantic Association Networks: Using Semantic Web Technology to Improve Scholarly Knowledge and Expertise Management.- Interactive Interfaces for Mapping E-Commerce Ontologies.- Back Pain Data Collection Using Scalable Vector Graphics and Geographical Information Systems.- Social Network Analysis on the Semantic Web: Techniques and Challenges for Visualizing FOAF.- Concluding Remarks: Today’s Vision of Envisioning the Semantic Future.