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Web 2.0 & Semantic Web

By Vladan Devedžic , Dragan Gaševic

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This special issue of AoIS presents cutting-edge research on these often contradictory trends in computing and will support discussion on the synergies and controversies of the two techniques, while considering what other technologies can contribute to both.

Full Description

  • ISBN13: 978-1-4419-1218-3
  • 220 Pages
  • User Level: Science
  • Publication Date: January 8, 2010
  • Available eBook Formats: PDF
  • eBook Price: $139.00
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Full Description
Web 2.0 describes the trend in Web technology and design that aims to enhance creativity, information sharing, and, especially, collaboration among users. Semantic Web refers to the intelligent interaction among systems and applications on the Web by deploying ontologies, semantic annotation of Web content, and reasoning. Its ultimate goal is to make data understandable to computers, and thus open to far greater utility and manipulation. This special issue of AoIS presents cutting-edge research on both of these often opposed trends in computing and will support discussion on both the synergies and controversies inherent in the two technologies, while also considering what other technologies can contribute to both. Dramatic advances in service-oriented architectures, model-driven engineering, and Web mining technologies are but a few of the developments that might have a considerable impact on both Web 2.0 and Semantic Web, and they will all be covered in this volume.
Table of Contents

Table of Contents

  1. A system for integration and leveraging of collaborative tags.
  2. Semantic enhancement of social tagging systems.
  3. Adaptation and recommendation techniques to improve the quality of annotations and the relevance of resources in Web 2.0 and Semantic Web
  4. based applications.
  5. Adaptive reactive rich Internet applications.
  6. Towards enhanced usability of natural language interfaces to knowledge bases.
  7. Semantic document model to enhance data and knowledge interoperability.
  8. Ontology
  9. based data mining in digital libraries.
  10. An assessment system on the Semantic Web.
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