Modeling social attitudes on the web

  • Authors:
  • Matthias Nickles

  • Affiliations:
  • AI/Cognition Group, Department of Computer Science, Technical University of Munich, Garching b. München, Germany

  • Venue:
  • ISWC'06 Proceedings of the 5th international conference on The Semantic Web
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper argues that in order to allow for the representation, comparison and assessment of possibly controversial or uncertain information on the web, the semantic web effort requires capabilities for the social reasoning about web ontologies and other information acquired from multiple heterogeneous sources. As an approach to this, we propose formal means for the representation of possibly controversial opinions of groups and individuals, and of several other social attitudes regarding information on the web. Doing so, we integrate concepts from distributed artificial intelligence with approaches to web semantics, aiming for a social semantics of web content.