Semantic content distribution with aggregated profiles

Abstract

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.