activity
20162026
most citedArCo: the Italian Cultural Heritage Knowledge Graph

118 citations · 378 across the 23 of their papers we have counts for

collaborators

27 papers

cs.AI2026

An ontology for cross-sectoral crisis management: core and public health modules

Aldo Gangemi, Rita T. Sousa, Luigi Asprino +6

This paper presents the European Crisis Management Ontology (ECMO), a modular OWL-based ontology intended as a cross-sectoral reference for disaster risk reduction and response. EC…

cs.DB2026

X-DigCheck: Co-Evolving Application Profiles and Knowledge Graphs, Demonstrated on the RTI Documentation of Rupe Magna

Celian Ringwald, Huseyin Erdogan, Valentina Presutti +1

We demonstrate X-DigCheck, a domain-independent environment for building and maintaining application profiles as they co-evolve with the data they describe. Profiles developed agai…

cs.CL2025

Bench4KE: Benchmarking Automated Competency Question Generation

Anna Sofia Lippolis, Minh Davide Ragagni, Paolo Ciancarini +2

The availability of Large Language Models (LLMs) presents a unique opportunity to reinvigorate research on Knowledge Engineering (KE) automation. This trend is already evident in r…

cs.AI2024★ 1 cited

Explainable Moral Values: a neuro-symbolic approach to value classification

Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi +1

This work explores the integration of ontology-based reasoning and Machine Learning techniques for explainable value classification. By relying on an ontological formalization of m…

cs.HC2023

Melody: A Platform for Linked Open Data Visualisation and Curated Storytelling

Giulia Renda, Marilena Daquino, Valentina Presutti

Data visualisation and storytelling techniques help experts highlight relations between data and share complex information with a broad audience. However, existing solutions target…

cs.SC2023★ 2 cited

Classifying sequences by combining context-free grammars and OWL ontologies

Nicolas Lazzari, Andrea Poltronieri, Valentina Presutti

This paper describes a pattern to formalise context-free grammars in OWL and its use for sequence classification. The proposed approach is compared to existing methods in terms of…