Extracting Basic Graph Patterns from Triple Pattern Fragment Logs

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

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

The Triple Pattern Fragment (TPF) approach is de-facto a new way to publish Linked Data at low cost and with high server availability. However, data providers hosting TPF servers are not able to analyze the SPARQL queries they execute because they only receive and evaluate queries with one triple pattern. In this paper, we propose LIFT: an algorithm to extract Basic Graph Patterns (BGPs) of executed queries from TPF server logs. Experiments show that LIFT extracts BGPs with good precision and good recall generating limited noise.

Mots clés: Linked Data; Triple Pattern Fragments; log analysis; Basic Graph Patterns

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

Georges Nassopoulos, Patricia Serrano-Alvarado, Pascal Molli, Emmanuel Desmontils. Extracting Basic Graph Patterns from Triple Pattern Fragment Logs. [Research Report] Université de Nantes Faculté des sciences et des techniques; LS2N, Université de Nantes. 2017. ⟨hal-02161125⟩