An RDF-Based Publish/Subscribe System

Publish/subscribe is a promising paradigm with a growing appeal in building large-scale distributed applications. Existing publish/subscribe systems have limited support for semantic information. In this paper, we propose JTangPS (JTang Publish/subscribe System), an RDF (Resource Description Framework) based publish/subscribe system which uses RDF graphs to describe events and RDF graph patterns to represent subscriptions. A fast graph-based matching algorithm is presented to reconcile the conflict of expressiveness and scalability. Experimental results using synthetic workload demonstrate the scalability of system with large numbers of subscriptions.