Jason: A Scalable Reputation System for the Semantic Web

  • Sandra Steinbrecher
  • Stephan Groß
  • Markus Meichau
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 297)

Abstract

The recent development of the Internet, especially the expanding use of social software and dynamic content generation commonly termed as Web 2.0 enables users to find information about almost every possible topic on the Web. On the downside, it becomes more and more difficult to decide which information can be trusted in. In this paper we propose the enhancement of Web 2.0 by a scalable and secure cross-platform reputation system that takes into account a user’s social network. Our proposed solution Jason is based on standard methods of the semantic web and does not need a central entity. It enables the fast and flexible evaluation of arbitrary content on the World Wide Web. In contrast to many other reputation systems it provides mechanisms to ensure the authenticity of web content, thus, enabling the user to explicitely choose information published by trusted authors.

Keywords

Trust management reputation system secure semantic web identity management privacy-preserving data management secure information integration 

Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Sandra Steinbrecher
    • 1
  • Stephan Groß
    • 1
  • Markus Meichau
    • 2
  1. 1.Fakultät InformatikTechnische Universität DresdenDresdenGermany
  2. 2.Max-Planck-GesellschaftMünchenGermany

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