Running inference-enabled SPARQL queries may sometimes require unexpectedly long execution time. Therefore, demand has increased to make them more usable by slightly changing their queries, which could produce an acceptable level of similar results. In this demonstration, we present our query-approximation system that can transform an inference-enabled federated SPARQL query into another one that can produce acceptably similar results without unexpectedly long runtimes to avoid timeout on executing inference-enabled federated SPARQL queries.
['Yuji Yamagata', 'Naoki Fukuta']
Approximating inference-enabled federated SPARQL queries on multiple endpoints