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Extracting Basic Graph Patterns from Triple Pattern Fragment Logs

2019/06/20 by Georges Nassopoulos, Patricia Serrano-Alvarado, Georges, Nassopoulos +5
Computer Science · #Advanced Database Systems and Queries #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Semantic Web and Ontologies

paper · pdf · doi:10.48550/arxiv.1906.08574

openalex publication_date 2019/06/20 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28

Abstract

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.

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