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.
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Nickles, M. (2006). Modeling Social Attitudes on the Web. In: Cruz, I., et al. The Semantic Web - ISWC 2006. ISWC 2006. Lecture Notes in Computer Science, vol 4273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11926078_38
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DOI: https://doi.org/10.1007/11926078_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49029-6
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