Abstract
Recent studies reveal that publicly available SPARQL endpoints exhibit significant limitations in supporting real-world applications. In order for this querying infrastructure to reach its full potential, more flexible client-server architectures capable of deciding appropriate shipping plans are needed. Shipping plans indicate how the execution of query operators is distributed between the client and the server. We propose SHEPHERD, a SPARQL client-server query processor tailored to reduce SPARQL endpoint workload and generate shipping plans where costly operators are placed at the client site. We evaluated SHEPHERD on a variety of public SPARQL endpoints and SPARQL queries. Experimental results suggest that SHEPHERD can enhance endpoint performance while shifting workload from the endpoint to the client.
| Original language | English |
|---|---|
| Pages (from-to) | 453-456 |
| Number of pages | 4 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1272 |
| State | Published - 2014 |
| Externally published | Yes |
| Event | ISWC 2014 Posters and Demonstrations Track, ISWC-P and D 2014, 13th International Semantic Web Conference, ISWC 2014 - Riva del Garda, Italy Duration: 21 Oct 2014 → 21 Oct 2014 |