An ontology-based event matching dealing with semantic heterogeneity in Pub/Sub systems

Pub/Sub Systems is well suitable for asynchronous exchanging information in distributed systems. However, owing to the existence of numerous communication participants from diverse organizations under an anonymous communication mechanism, the semantic heterogeneous issue in event-matching is fundamental. It affects the accuracy and comprehensiveness of event matching. But most existing content-based Pub/Sub systems are unable to support semantic. Therefore, in order to eliminate semantic heterogeneity happened on event matching, ontology is introduced in this paper. And considering the support of current content-based Pub/Sub systems infrastructure, we firstly put forward an approach to convert the original content-based data model to a new concept-based data model applying multidimensional-index(X tree) on a high level shared ontology library, and then raise relevant event-matching arithmetic using the cover of subscriptions information and matching order to accelerate the speed of matching. The experiment demonstrates that the arithmetic can be able to tackle the issue to some extent, meanwhile, increase the efficiency of event matching.