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G-ToPSS: fast filtering of graph-based metadata

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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 largevolume 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. Categories and Subject Descriptors H.3.3 [Information Systems]: Information Search and Retrieval; H.3.4 [Information Systems]: Systems and Software General Terms Desi...
Milenko Petrovic, Haifeng Liu, Hans-Arno Jacobsen
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2005
Where WWW
Authors Milenko Petrovic, Haifeng Liu, Hans-Arno Jacobsen
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