Roberto Barile

Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs

Datasets for the experimental evaluation of knowledge graph refinement algorithms typically contain only ground facts, retaining very limited schema level knowledge even when such information is...

GRainsaCK: a Comprehensive Software Library for Benchmarking Explanations of Link Prediction Tasks on Knowledge Graphs

Since Knowledge Graphs are often incomplete, link prediction methods are adopted for predicting missing facts. Scalable embedding based solutions are mostly adopted for this purpose, however, they...

Semantic Web and Creative AI -- A Technical Report from ISWS 2023

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 performed by ten...

An Empirical Study of the Consistency between Protocols for Evaluating Explanations of Predicted Links in Knowledge Graphs

LP-DIXIT: Evaluating Explanations for Link Predictions on Knowledge Graphs using Large Language Models

Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization

Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays

Additive Counterfactuals for Explaining Link Predictions on Knowledge Graphs

LPX-AbPoint: Abduction and Pinpointing for Explaining Link Predictions on DL Knowledge Graphs