Efficient and scalable filtering of graph-based metadata

@article{Liu2005EfficientAS,
  title={Efficient and scalable filtering of graph-based metadata},
  author={Haifeng Liu and Milenko Petrovic and Hans-Arno Jacobsen},
  journal={J. Web Sem.},
  year={2005},
  volume={3},
  pages={294-310}
}
RDF Site Summaries constitute an application of RDF on the Web that has considerably grown in popularity. However, the way RSS systems operate today limits their scalability. Current RSS feed arregators follow a pull-based architecture model, which is not going to scale with the increasing number of RSS feeds becoming available on the Web. In this paper we introduce G-ToPSS, a scalable publish/subscribe system for selective information dissemination. G-ToPSS only sends newly updated information… CONTINUE READING