An approach to description logic with support for propositional attitudes and belief fusion
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Springer-Verlag Berlin HeidelbergDate
2008Citation
10.1007/978-3-540-89765-1_8
Uncertainty Reasoning for the Semantic Web I: ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers. Lecture Notes in Computer Science, Volumen 5327, Springer 2008, 124-142
ISSN
0302-9743 (print); 1611-3349 (online)ISBN
978-3-540-89764-4 (print); 978-3-540-89765-1 (online)DOI
10.1007/978-3-540-89765-1_8Funded by
This work was partially funded by the German National Research Foundation DFG (Br609/13-1, research project “Open Ontologies and Open Knowledge Bases”) and by the Spanish National Plan of R+D, project no. TSI2005-08225-C07-06Editor's Version
http://dx.doi.org/10.1007/978-3-540-89765-1_8Subjects
Semantic Web; OWL; Knowledge Integration; Context Logic; Voting; Provenance Annotation; InformáticaNote
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-89765-1_8Revised Selected and Invited Papers of ISWC International Workshops, URSW 2005-2007.
Rights
© Springer-Verlag Berlin Heidelberg 2008Abstract
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 metaknowledge 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
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Google Scholar:Nickles, Matthias
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Cobos Pérez, Ruth
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