Abstract | ||
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From a theoretical point of view, the Semantic Web is under- stood in terms of a stack with RDF being one of its layers. A Semantic Web application operates on the common data model expressed in RDF. Reality is a bit dierent, though. As legacy data has to be processed in order to realise the Semantic Web, a number of questions arise when one is after processing RDF graphs on the Semantic Web. This work addresses performance and scalability issues (PSI), viz. proposing a met- ric for virtual RDF graphs on the Semantic Web—in contrast to a local RDF repository, or distributed, but native RDF stores. |
Year | Venue | Keywords |
---|---|---|
2007 | SFSW | semantic web,data model |
Field | DocType | Citations |
Semantic Web Stack,Information retrieval,Computer science,Cwm,Linked data,Theoretical computer science,SPARQL,Semantic analytics,Social Semantic Web,RDF Schema,RDF | Conference | 5 |
PageRank | References | Authors |
1.78 | 10 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Hausenblas | 1 | 478 | 52.35 |
Wolfgang Slany | 2 | 329 | 49.70 |
Danny Ayers | 3 | 80 | 14.14 |