Sparqling: Painlessly Drawing SPARQL Queries over Graphol Ontologies

Since the new query functionality offered by SPARQL-LD (allowing to query any HTTP resource containing RDF data) can lead to queries with large num- ber of service patterns which

We describe here the ViziQuer notation and tool for data analysis query definition and translation into SPARQL 1.1, involving data aggregation facilities and rich

As sum- mary, using the SPARQL query pattern combinations we present in this paper it is possible to avoid the remote server result size limitation obtaining sound and complete

In this article, we describe an indexing method using ma- terialized SPARQL queries as indexes on RDF data sets to reduce the query processing time.. We provide a formal definition

In particular, we show that the PSPARQL query language, a strict extension of SPARQL offering transitive closure, allows for answering SPARQL queries modulo RDFS graphs with the

Unlike traditional SPARQL endpoints, the RDF graph against which SCRY resolves its queries is generated at query time, by executing services encoded in the query’s graph

We use SPARQL conjunctive queries as views that describe sources contents. As in the Bucket Algorithm [20], relevant sources are selected per query subgoal, i.e., triple pattern.

When a query prepared by the client might require a long execution time, a standard SPARQL endpoint implementation will try to execute the query with lots of cost to return answers..