Spade: A Modular Framework for Analytical Exploration of RDF Graphs
Summary: Spade automatically discovers and ranks visually interesting OLAP-style aggregates over RDF graphs, inferring facts, dimensions, and measures. Its extensible framework combines ontology-driven exploration with early-stop interestingness estimation to make large candidate spaces tractable. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yanlei Diao (Ecole Polytechnique; University of Massachusetts Amherst)
- 2. Paweł Guzewicz (Ecole Polytechnique; INRIA)
- 3. Ioana Manolescu (Ecole Polytechnique; INRIA)
- 4. Mirjana Mazuran (Ecole Polytechnique; INRIA)
BibTeX Citation
@article{diao_vldb19,
title = {{Spade: A Modular Framework for Analytical Exploration of RDF Graphs}},
author = {Diao, Yanlei and Guzewicz, Paweł and Manolescu, Ioana and Mazuran, Mirjana},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1926--1929},
doi = {10.14778/3352063.3352101},
url = {https://doi.org/10.14778/3352063.3352101},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,339 | Efficient Exploration of Interesting Aggregates in RDF Graphs | 2021 | SIGMOD | 5.2869213e-05 |
| 11,775 | AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases | 2020 | SIGMOD | 5.093636e-05 |
| 11,816 | HDAG-Explorer: A System for Hierarchical DAG Summarization and Exploration | 2020 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9 | Online Aggregation | 1997 | SIGMOD | 0.00077458002 |
| 11 | Implementing Data Cubes Efficiently | 1996 | SIGMOD | 0.00071822821 |
| 324 | An Array-Based Algorithm for Simultaneous Multidimensional Aggregates | 1997 | SIGMOD | 0.00021200835 |
| 410 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.0001890421 |
| 3,132 | Extracting Top-K Insights from Multi-dimensional Data | 2017 | SIGMOD | 7.7246394e-05 |
| 5,634 | DeepEye: Creating Good Data Visualizations by Keyword Search | 2018 | SIGMOD | 6.1412942e-05 |
| 6,623 | Teaching an RDBMS about ontological constraints | 2016 | VLDB | 5.8206367e-05 |
| 7,061 | QAGView: Interactively Summarizing High-Valued Aggregate Query Answers | 2018 | SIGMOD | 5.7145492e-05 |
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