6 citations · 11 across the 15 of their papers we have counts for
7 papers · 1 filter
Oracle, will I ever learn? A study of prediction convergence and complementarity across link prediction models
Guillaume Méroué, Fabien Gandon, Pierre Monnin
Knowledge graphs have become an important source of structured knowledge for Web applications, including search, question answering, and recommender systems. In these applications,…
LLM-Assisted Ontology Engineering and Construction of a French Legal Knowledge Graph
G{é}nesis Montenegro, Mokhtar Boumedyen Billami, Catherine Faron +2
Maintenance regulations are complex legal texts that are difficult to exploit when addressing a specific case and challenging to integrate into operational systems. This paper pres…
Are you Talking Logic to Me? Assessing Language Models Syllogistic Reasoning Capabilities
Hanna Abi Akl, Fabien Gandon, Catherine Faron +1
Language models (LMs) struggle with logical tasks like reasoning on syllogisms. It has been shown that Knowledge Representation (KR) plays a crucial role in expressing input inform…
SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance
Hanna Abi Akl, Fabien Gandon, Catherine Faron +1
This paper revisits our pipeline called Syllogistic Evaluation Framework-Common Logic Grammar Construction (SEF-CLGC). We combine formal logical notations with Small Language Model…
Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings
Guillaume Méroué, Fabien Gandon, Pierre Monnin
Embedding models (KGEMs) constitute the main link prediction approach to complete knowledge graphs. Standard evaluation protocols emphasize rank-based metrics such as MRR or Hits@$…
Which Are the Low-Resource Languages of the Semantic Web?
Ndeye-Emilie Mbengue, Pierre Monnin, Miguel Couceiro +1
Emerging digital technologies are exacerbating the existing divide in Open Access Data (OAD) between high-and low-resource languages, excluding many communities from the global dig…
T2S-Metrics: Unified Library for Evaluating SPARQL Queries Generated From Natural Language
Yousouf Taghzouti, Tao Jiang, Camille Juigné +4
The evaluation of Question Answering (QA) systems over Knowledge Graphs has historically suffered from fragmentation, inconsistency, and limited reproducibility. While significant…