« This work has received French government support granted to the Labex Cominlabs excellence laboratory and managed by the National Research Agency in the “Investing for the Future” program under reference ANR-10-LABX-07-01 ».
Open source code
- PARTAGE open pipeline and API available in GitLab and described at https://project.inria.fr/partage/available-now/
- OER search engine developped with the PARTAGE pipeline based on the collection of HAL documents of the LS2N laboratory https://partage.ls2n.glicid.fr/
- SPARQL endpoint to query the OER knowledge graph of the HAL collection of LS2N laboratory https://partage.ls2n.glicid.fr/sparql
Publications
- Manoé Kieffer, Hugo Chabane, Patricia Serrano-Alvarado, Khalid Belhajjame. LP4P: Link Prediction over Annotated Knowledge Graphs with Four Patterns. In 13th International Conference on Knowledge Capture (K-CAP), December 2025, Dayton, Ohio, Etats-Unis. https://doi.org/10.1145/3731443.377135. https://hal.science/hal-05307387v1
- Manoe Kieffer, Patricia Serrano-Alvarado, Margo Bernelin. Combining complex licenses to facilitate contextual resource reuse. In workshop ODRL and Beyond: Practical Applications and Challenges for Policy-Based Access and Usage Control (OPAL 2025), co-located with the Extended Semantic Web Conference (ESWC 2025). https://hal.science/hal-05106009v1
PhD defense
- 30 January 2026 – PhD defense by Manoé Kieffer, entitled “Leveraging annotations in knowledge graphs to enhance their expressiveness for data processing and analysis“. This PhD thesis was funded by AIBy4 and PARTAGE.
Workshops
- 1. On 14th November 2024, Introducing the CLARA pipeline’s core principles: The session features presentations on metadata management and license compatibility, a demo with an explanation of the PARTAGE integration pipeline, and a discussion on directives tailored to better meet teachers’ needs.
Slides available: here
- 2. On 12th September 2024, The RELIA workshop delved into the “why” and “how” of searching for Open Educational Resources (OERs). The session covered state-of-the-art methods for representing and searching OERs based on user queries using AI techniques, concluding with an engaging interactive card-based role-play game focused on OER discovery.
