Syndication on the Web using a description logic approach
Web Semantics: Science, Services and Agents on the World Wide Web
On the Semantics of Trust and Caching in the Semantic Web
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
A real-time XML protocol for bridging virtual communities
International Journal of Networking and Virtual Organisations
Reasoning about uncertain information and conflict resolution through trust revision
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Interest in web-based syndication systems has been growing as information streams onto the web at an increasing rate. Technologies, like the standard Semantic Web languages RDF and OWL, make it possible to create expressive representations of the content of publications and subscriptions in a syndication framework. Because these languages are based in description logics, this representation allows the application to reasoning to make more precise matching of user interests with published information. A challenge to this approach is that the consistency of the underlying knowledge base must be maintained for these techniques to work. With the frequent addition of information from new publications, it is likely that inconsistencies will arise. There are many potential mechanisms for choosing which inconsistent information to discard from the KB to regain consistency; in the case of news syndication, we argue keeping the most trusted information is important for generating the most valuable matches. Thus, in this article, we present algorithms for belief-base revision, and specifically look at the user's trust in the information sources as a metric for deciding what to keep in the KB and what to remove.