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)
Incoming Non-self Citations Over Time
Authors
- 1. Angela Bonifati (Claude Bernard Lyon 1 University)
- 2. Wim Martens (University of Bayreuth)
- 3. Thomas Timm (University of Bayreuth)
BibTeX Citation
@inproceedings{bonifati_sigmod20,
title = {{SHARQL: Shape Analysis of Recursive SPARQL Queries}},
author = {Bonifati, Angela and Martens, Wim and Timm, Thomas},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384684},
url = {https://dl.acm.org/doi/10.1145/3318464.3384684},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,176 | Towards Theory for Real-World Data | 2022 | PODS | 5.2127522e-05 |
| 9,980 | Schema-Based Query Optimisation for Graph Databases | 2025 | SIGMOD | 5.1013913e-05 |
| 10,153 | Threshold Queries in Theory and in the Wild | 2022 | VLDB | 5.0715586e-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 |
|---|---|---|---|---|
| 540 | An Analytical Study of Large SPARQL Query Logs | 2018 | VLDB | 0.00016726545 |
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