An approach to description logic with support for propositional attitudes and belief fusion
Nickles, M. and Cobos, R., 2008. An approach to description logic with support for propositional attitudes and belief fusion. In: Uncertainty Reasoning for the Semantic Web I - ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers. Vol. 5327 NAI. Heidelberg: Springer-Verlag, pp. 124-142. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics))
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In the (Semantic) Web, the existence or producibility of certain, consensually agreed or authoritative knowledge cannot be assumed, and criteria to judge the trustability and reputation of knowledge sources may not be given. These issues give rise to formalizations of web information which factor in heterogeneous and possibly inconsistent assertions and intentions, and make such heterogeneity explicit and manageable for reasoning mechanisms. Such approaches can provide valuable meta-knowledge in contemporary application fields, like open or distributed ontologies, social software, ranking and recommender systems, and domains with a high amount of controversies, such as politics and culture. As an approach to this, we introduce a lean formalism for the Semantic Web which allows for the explicit representation of controversial individual and group opinions and goals by means of so-called social contexts, and optionally for the probabilistic belief merging of uncertain or conflicting statements. Doing so, our approach generalizes concepts such as provenance annotation and voting in the context of ontologies and other kinds of Semantic Web knowledge.
|Item Type||Book Sections|
|Creators||Nickles, M.and Cobos, R.|
|Uncontrolled Keywords||multi agent systems, information retrieval systems, ontology, data description, semantic web, information theory, semantics|
|Departments||Faculty of Science > Computer Science|
|Additional Information||ISWC International Workshops on Uncertainty Reasoning for the Semantic Web, URSW 2005-2007|
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