SWEEP: a Streaming Web Service to Deduce Basic Graph Patterns from Triple Pattern Fragments

Emmanuel Desmontils (1, 2) , Patricia Serrano-Alvarado (1, 2) , Pascal Molli (1, 2)

1 LS2N - Laboratoire des Sciences du Numérique de Nantes
2 LS2N - équipe GDD - Gestion de Données Distribuées

The Triple Pattern Fragments (TPF) interface demonstrates how it is possible to publish Linked Data at low-cost while preserving data availability. But, data providers hosting TPF servers are not able to analyze the SPARQL queries they execute because they only receive and evaluate subqueries with one triple pattern. Understanding the executed SPARQL queries is important for data providers for prefetching, benchmarking, auditing, etc. We propose SWEEP, a streaming web service that deduces Basic Graph Patterns (BGPs) of SPARQL queries from a TPF server log. We show that SWEEP is capable of extracting BGPs of SPARQL queries evaluated by a DBpedia’s TPF server.

Mots clés: SPARQL; Triple Pattern Fragments; RDF; Linked Data; Semantic web

Domaines: Algorithme et structure de données [cs.DS]; Base de données [cs.DB]; Web

Emmanuel Desmontils, Patricia Serrano-Alvarado, Pascal Molli. SWEEP: a Streaming Web Service to Deduce Basic Graph Patterns from Triple Pattern Fragments. International Semantic Web Conference (ISWC), Oct 2017, Vienna, Austria. ⟨hal-01583513⟩