Enabling ne-grained HTTP caching of SPARQL query results

author: Gregory Todd Williams, Rensselaer Polytechnic Institute
published: Nov. 25, 2011,   recorded: October 2011,   views: 3517


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


As SPARQL endpoints are increasingly used to serve linked data, their ability to scale becomes crucial. Although much work has been done to improve query evaluation, little has been done to take advantage of caching. E ffective solutions for caching query results can improve scalability by reducing latency, network IO, and CPU overhead.We show that simple augmentation of the database indexes found in common SPARQL implementations can directly lead to e effective caching at the HTTP protocol level. Using tests from the Berlin SPARQL benchmark, we evaluate the potential of such caching to improve overall efficiency of SPARQL query evaluation.

See Also:

Download slides icon Download slides: iswc2011_todd_williams_results_01.pdf (748.1┬áKB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: