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An Analytical Study of Large SPARQL Query Logs

Summary: Analyses a voluminous, multi-year SPARQL query log corpus from diverse RDF endpoints to reveal real-user syntactic and structural patterns. Introduces graph- and hypergraph-based query shapes, (hyper)tree width, and the 'streak' of sequential seed-query modifications, informing evaluation and optimization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11636
Venue
VLDB
Year
2018
Pagerank
0.00018099792
Overall Rank
690 | 95.21%
DOI
10.14778/3149193.3149196

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 51 citing papers.

Rank Citing Paper Year Venue Pagerank
11,657 An Efficient Index for RDF Query Containment 2019 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
257 Making Database Systems Usable 2007 SIGMOD 0.00030223397
342 EmptyHeaded: A Relational Engine for Graph Processing 2016 SIGMOD 0.00026795977
1,328 Hypertree Decompositions: Questions and Answers 2016 PODS 0.00012565612
1,907 Guided Interaction: Rethinking the Query-Result Paradigm 2011 VLDB 0.00010136636
4,058 Efficient Evaluation and Approximation of Well-designed Pattern Trees 2015 PODS 6.4866036e-05
4,251 Static Analysis and Optimization of Semantic Web Queries 2012 PODS 6.3235328e-05
5,424 A Trichotomy for Regular Simple Path Queries on Graphs 2013 PODS 5.5126983e-05
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