Named graphs, provenance and trust
WWW '05 Proceedings of the 14th international conference on World Wide Web
A survey of trust in computer science and the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Building trust in electronic communities by mining web content
International Journal of Computational Science and Engineering
CONGAS: A COllaborative Ontology Development Framework Based on Named GrAphS
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
RCCtrust: A combined trust model for electronic community
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
Web Semantics: Science, Services and Agents on the World Wide Web
Enabling advanced and context-dependent access control in RDF stores
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A trust quantification method based on grey fuzzy theory
Proceedings of the 3rd international conference on Security of information and networks
Querying dynamic and context-sensitive metadata in semantic web
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
Enhanced semantic web layered architecture model
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
Determining trust in media-rich websites using semantic similarity
Multimedia Tools and Applications
Trust fraud: A crucial challenge for China's e-commerce market
Electronic Commerce Research and Applications
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The current discussion about a future Semantic Web trust architecture is focused on reputational trust mechanisms based on explicit trust ratings. What is often overlooked is the fact that, besides of ratings, huge parts of the application-specific data published on the Semantic Web are also trust relevant and therefore can be used for flexible, fine-grained trust evaluations. In this poster we propose the usage of context- and content-based trust mechanisms and outline a trust architecture which allows the formulation of subjective and task-specific trust policies as a combination of reputation-, context- and content-based trust mechanisms.