Information Integration Using Logical Views
ICDT '97 Proceedings of the 6th International Conference on Database Theory
P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Named graphs, provenance and trust
WWW '05 Proceedings of the 14th international conference on World Wide Web
A mapping system for the integration of OWL-DL ontologies
Proceedings of the first international workshop on Interoperability of heterogeneous information systems
Judgment aggregation and the problem of truth-tracking
TARK '07 Proceedings of the 11th conference on Theoretical aspects of rationality and knowledge
Proceedings of the 17th international conference on World Wide Web
Social acquisition of ontologies from communication processes
Applied Ontology - Formal Ontologies for Communicating Agents
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A New Semantics for the FIPA Agent Communication Language based on Social Attitudes
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Metalevel information in ontology-based applications
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Reducing OWL entailment to description logic satisfiability
Web Semantics: Science, Services and Agents on the World Wide Web
Modeling social attitudes on the web
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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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.