document: G-ToPSS : fast filtering of graph-based metadata RDF is increasingly being used to represent metadata . RDF Site Summary ( RSS ) is an application of RDF on the Web that has considerably grown in popularity . However , the way RSS systems operate today does not scale well . In this paper we introduce G-ToPSS , a scalable publish\/subscribe system for selective information dissemination . G-ToPSS is particularly well suited for applications that deal with large-volume content distribution from diverse sources . RSS is an instance of the content distribution problem . G-ToPSS allows use of ontology as a way to provide additional information about the data . Furthermore , in this paper we show how G-ToPSS can support RDFS class taxonomies . We have implemented and experimentally evaluated G-ToPSS and we provide results in the paper demonstrating its scalability compared to alternatives .
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