EDBT 2026 Demo / reviewers in the wild / expert
Malika Grim-Yefsah
dblp:99/9372
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0000-0002-6743-0692ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 3 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Knowledge graphs · 50% Data integration and cleaning · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning
heterogeneous data integration |
0.9 | 1 | 2025 | SDG-KG: A Framework to Compute SDG Indicator using Open Data · Proc. VLDB Endow. 2025 |
Knowledge graphs
knowledge graph construction |
0.9 | 1 | 2025 | SDG-KG: A Framework to Compute SDG Indicator using Open Data · Proc. VLDB Endow. 2025 |
Methods — techniques the papers use, named apart from their topics
query-driven execution planning · 1.7conflict resolution · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A Dual Knowledge Graph-Driven Computation of SDG IndicatorsabstractInternational audience Wissal Benjira, Nicolas Travers, Faten Atigui, Bénédicte Bucher, Malika Grim-Yefsah |
IEEE Big Data | 5 |
| 2025 | Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approachabstractInternational audience Wissal Benjira, Faten Atigui, Bénédicte Bucher, Malika Grim-Yefsah, Nicolas Travers |
Data Knowl. Eng. | 4 |
| 2025 | SDG-KG: A Framework to Compute SDG Indicator using Open DataabstractMonitoring Sustainable Development Goal (SDG) indicators requires integrating heterogeneous open datasets from sources such as relational databases, NoSQL stores, and APIs. While SDG indicators follow standardized definitions, open data sources are often fragmented, schema-less, and inconsistent, making both integration and computation challenging. In this demonstration, we present SDG-KG , a spatio-temporal Knowledge Graph (KG) framework designed to structure metadata, guide data retrieval, and formalize indicator computation workflows. Our approach leverages graph-based modeling to construct a Metadata Graph, apply conflict resolution techniques when multiple sources provide overlapping data, and dynamically generate query-driven execution plans. Through an interactive interface, users can explore United Nations specifications, inspect data provenance and the generated KG, and visualize the computed indicators. Wissal Benjira, Nicolas Travers, Bénédicte Bucher, Malika Grim-Yefsah, Faten Atigui |
Proc. VLDB Endow. | 4 |