SDG-KG: A Framework to Compute SDG Indicators with Open Data
Summary: SDG-KG models SDG metadata and heterogeneous open data in a spatio-temporal knowledge graph, resolving source conflicts. It dynamically generates query-driven computation plans while exposing provenance, specifications, and results through an interactive interface. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Wissal Benjira (De Vinci Higher Education; De Vinci Research Center; Laboratoire en Sciences et Technologies de l'Information Géographique; National Institute of Geographic and Forestry Information)
- 2. Nicolas Travers (De Vinci Higher Education; De Vinci Research Center)
- 3. Faten Atigui (Centre d'Études et de Recherche en Informatique et Communications; Conservatoire national des arts et métiers)
- 4. Bénédicte Bucher (Laboratoire en Sciences et Technologies de l'Information Géographique; National Institute of Geographic and Forestry Information)
- 5. Malika Grim-Yefsah (Laboratoire en Sciences et Technologies de l'Information Géographique; National Institute of Geographic and Forestry Information)
BibTeX Citation
@article{benjira_vldb25,
title = {{SDG-KG: A Framework to Compute SDG Indicators with Open Data}},
author = {Benjira, Wissal and Travers, Nicolas and Atigui, Faten and Bucher, Bénédicte and Grim-Yefsah, Malika},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5367--5370},
doi = {10.14778/3750601.3750673},
url = {https://doi.org/10.14778/3750601.3750673},
year = {2025}
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|---|---|---|---|---|
| 6,215 | ESTOCADA: Towards Scalable Polystore Systems | 2020 | VLDB | 5.9425753e-05 |
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