6 citations · 11 across the 15 of their papers we have counts for
15 papers
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…
A systematic review of relation extraction task since the emergence of Transformers
Ringwald Celian, Gandon, Fabien +3
This article presents a systematic review of relation extraction (RE) research since the advent of Transformer-based models. Using an automated framework to collect and annotate pu…
Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties
Célian Ringwald, Fabien Gandon, Catherine Faron +2
Small language models (SLMs) have shown promises for relation extraction (RE) when extracting RDF triples guided by SHACL shapes focused on common datatype properties. This paper i…
Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction
Ringwald Celian, Gandon Fabien, Faron Catherine +2
RDF pattern-based extraction is a compelling approach for fine-tuning small language models (SLMs) by focusing a relation extraction task on a specified SHACL shape. This technique…
No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture
Hamza Belgroun, Franck Michel, Fabien Gandon
In our age of digital platforms, human attention has become a scarce and highly valuable resource, rivalrous, tradable, and increasingly subject to market dynamics. This article ex…
MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs
Madina Bekbergenova, Lucas Pradi, Benjamin Navet +15
Mass spectrometry-based metabolomics generates complex, high-dimensional data that holds vast potential for biological discovery but remains difficult to integrate and interpret. K…
Eat your own KR: a KR-based approach to index Semantic Web Endpoints and Knowledge Graphs
Pierre Maillot, Catherine Faron, Fabien Gandon +2
Over the last decade, knowledge graphs have multiplied, grown, and evolved on the World Wide Web, and the advent of new standards, vocabularies, and application domains has acceler…
QForge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs
Yousouf Taghzouti, Franck Michel, Tao Jiang +2
The SPARQL query language is the standard method to access knowledge graphs (KGs). However, formulating SPARQL queries is a significant challenge for non-expert users, and remains…
Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance
Franck Michel, Fabien Gandon
Over the last 70 years, we, humans, have created an economic market where attention is being captured and turned into money thanks to advertising. During the last two decades, leve…