Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Moving RDF Stream Processing to the Client

173 views

Published on

ESWC 2016 poster

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Moving RDF Stream Processing to the Client

  1. 1. Moving RDF Stream Processing to the Client Stream-processing SPARQL endpoints are expensive to host on the Web Server does all the work, clients wait for results Unknown number of clients Unbounded query complexity Publish dynamic data with Triple Pattern Fragments and make clients work for their results ruben.taelman@ugent.be @rubensworks ... ... Clients want data, so they should contribute to the cost All requests are cacheable <s> <p> <o> 15:16 GMT+2 23:42 GMT+2 Triples are annotated with time Clients re-evaluate queries at the time they are needed Data-driven update frequency Server exposes interface handling simple requests, clients do most of the work

×