A Demonstration of Lusail - Querying Linked Data at Scale
Summary: Demo of Lusail, a geo-distributed graph engine for querying linked RDF data across tens to hundreds of endpoints. Locality-aware query decomposition minimizes intermediate data; selectivity-aware parallel execution reduces network latency and yields order-of-magnitude gains over state-of-the-art systems. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Essam Mansour (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 2. Ibrahim Abdelaziz (King Abdullah University of Science and Technology)
- 3. Mourad Ouzzani (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 4. Ashraf Aboulnaga (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 5. Panos Kalnis (King Abdullah University of Science and Technology)
BibTeX Citation
@inproceedings{mansour_sigmod17,
title = {{A Demonstration of Lusail - Querying Linked Data at Scale}},
author = {Mansour, Essam and Abdelaziz, Ibrahim and Ouzzani, Mourad and Aboulnaga, Ashraf and Kalnis, Panos},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3058731},
url = {https://dl.acm.org/doi/10.1145/3035918.3058731},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,958 | Lusail: A System for Querying Linked Data at Scale | 2018 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 6,223 | SQUIN: A Traversal Based Query Execution System for the Web of Linked Data | 2013 | SIGMOD | 5.9425753e-05 |
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