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SHARQL: Shape Analysis of Recursive SPARQL Queries

Summary: SHARQL enables shape analysis and visualization of recursive SPARQL queries, rendering complex hyperedges and property paths in query logs. Its flexible backend stores rich per-query attributes to enable analytics over hundreds of millions of queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5857
Venue
SIGMOD
Year
2020
Pagerank
4.2617199e-05
Overall Rank
9,889 | 31.21%
DOI
10.1145/3318464.3384684

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,943 Towards Theory for Real-World Data 2022 PODS 4.4258797e-05
9,676 Schema-Based Query Optimisation for Graph Databases 2025 SIGMOD 4.3047774e-05
9,798 Threshold Queries in Theory and in the Wild 2022 VLDB 4.2818172e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
690 An Analytical Study of Large SPARQL Query Logs 2018 VLDB 0.00018099792
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