Achieving scalability and expressiveness in an Internet-scale event notification service
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
Design and evaluation of a wide-area event notification service
ACM Transactions on Computer Systems (TOCS)
The JEDI Event-Based Infrastructure and Its Application to the Development of the OPSS WFMS
IEEE Transactions on Software Engineering
WebFilter: A High-throughput XML-based Publish and Subscribe System
Proceedings of the 27th International Conference on Very Large Data Bases
An Efficient Multicast Protocol for Content-Based Publish-Subscribe Systems
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
RDF-Based Model for Context-Aware Reasoning in Rich Service Environment
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Semantic information retrieval in a distributed environment
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Towards expressive publish/subscribe systems
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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Content-based networks have similar characteristics with traditional publish/subscribe system. These networks are more dynamic, scalable and disseminate the data based on user interests. End users subscribe to network according to their interest profiles, publishers publish contents to the network and network delivers them asynchronously according to user subscriptions. Expressive subscription methodology of user interests and compact interest representation is essential to build scalable content-based network. This paper presents an approach for distributing RDF documents in information dissemination network called Semantic Content-based Network (SCBN). This architecture supports information dissemination with complex information representation through graphs. This paper has the following two key contributions. In first part, we present a semantic based user profile description and methodology for user interest subscription to semantic content-based network. Second part describes a distributed profile aggregation framework for generating generic and compact profiles in the network.