Pierre Monnin
Research Scientist at Centre Inria d'Université Côte d'Azur
Research within the Wimmics team
Teaching within EFELIA Côte d'Azur and Polytech Nice Sophia
Centre Inria d'Université Côte d'Azur
2004, route des Lucioles, BP 93
06902 Sophia Antipolis Cedex - France
Projects, Software & Data
Projects
| Project | Duration | Funding agency | Role | Partners | Funding for my institution | Total funding |
|---|---|---|---|---|---|---|
| SHACKLE | Feb-Jul 2025 (6 months) |
ENFIELD EU Horizon Research and Innovation Action |
Principal Investigator | Télécom Paris, Université Côte d'Azur | 14.4k€ | 14.4k€ |
| ECLADATTA | 2023 - 2026 (42 months) |
French National Research Agency (ANR) Generic Call 2022 |
Principal Investigator (2023) Associated Member (2023 - 2026) |
EURECOM, IRIT, Orange | 196k€ | 601k€ |
| AT2TA | 2023 - 2026 (42 months) |
French National Research Agency (ANR) Generic Call 2022 |
Investigator; WP co-leader | LORIA, IHU Imagine, IRIT, Inria Paris, Infologic, Université Côte d'Azur | 30k€ | 669k€ |
Software & Data
- PGxLOD, a knowledge graph integrating pharmacogenomic knowledge from various sources
- PGxO, an ontology to represent pharmacogenomic knowledge
- YAGO4-LP, link prediction datasets based on the YAGO4 knowledge graph
- DB100k+, YAGO3-10+ and NELL-995+, semantically enriched datasets for link prediction
- Wikidata Thematic Subgraph Selection, datasets to train and evaluate algorithms to select thematic subgraphs of interest in a large knowledge graph from seed entities of interest
- Wikidata Thematic Subgraph Selection - An Artwork Dataset for experiments to select thematic subgraphs of interest in a large knowledge graph from seed entities of interest
- Pharmacogenomics datasets for Ontology Matching, datasets based on the PGxLOD knowledge graph to evaluate Ontology Matching algorithms on a structure-based instance matching task from the domain of pharmacogenomics
- analogical-pruning, an analogy-based pruning model for subgraph selection
- PyGraft, a Python tool to generate synthetic schemas and knowledge graphs
- KGPrune, an API and Web application to extract subgraphs from Wikidata around user-input entities of interest while avoiding topical drift
- Code of other experiments on GitHub