Extraction of Validating Shapes from very large Knowledge Graphs
Summary: QSE extracts validating shapes at web-scale using exact and approximate algorithms, computing support and confidence to surface reliable, informative constraints robust to noisy or incomplete KGs. First complete extractor for WikiData; 12× faster than prior work and removes up to 93% spurious shapes, cutting user-facing constraints by up to 100×. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kashif Rabbani (Aalborg University)
- 2. Matteo Lissandrini (Aalborg University)
- 3. Katja Hose (Aalborg University)
BibTeX Citation
@article{rabbani_vldb23,
title = {{Extraction of Validating Shapes from very large Knowledge Graphs}},
author = {Rabbani, Kashif and Lissandrini, Matteo and Hose, Katja},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {5},
pages = {1023--1032},
doi = {10.14778/3579075.3579078},
url = {https://doi.org/10.14778/3579075.3579078},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,185 | Transforming RDF Graphs to Property Graphs using Standardized Schemas | 2024 | SIGMOD | 5.3058708e-05 |
| 11,243 | TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning | 2024 | VLDB | 5.093636e-05 |
| 11,276 | Efficient Validation of SHACL Shapes with Reasoning | 2024 | 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 |
|---|---|---|---|---|
| 5,928 | Magic Shapes for SHACL Validation | 2022 | VLDB | 6.038081e-05 |
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