3 papers
cs.AI2026
Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs
Ivan Diliso, Roberto Barile, Claudia d'Amato +1
Datasets for the experimental evaluation of knowledge graph refinement algorithms typically contain only ground facts, retaining very limited schema level knowledge even when such…
cs.AI2025
GRainsaCK: a Comprehensive Software Library for Benchmarking Explanations of Link Prediction Tasks on Knowledge Graphs
Roberto Barile, Claudia d'Amato, Nicola Fanizzi
Since Knowledge Graphs are often incomplete, link prediction methods are adopted for predicting missing facts. Scalable embedding based solutions are mostly adopted for this purpos…
cs.AI2025
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
Raia Abu Ahmad, Reham Alharbi, Roberto Barile +74
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort p…