activity
20182026
most citedArCo: the Italian Cultural Heritage Knowledge Graph

118 citations · 330 across the 24 of their papers we have counts for

collaborators
Showing cs.AIShow all

17 papers · 1 filter

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.AI2026

OntoExtend: A Framework for Requirement-driven and Scalable Ontology Extension with LLMs

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Stefan Schmid +5

Ontology extension refers to the process of enriching an existing ontology in response to emerging requirements, making it more complete. This task is a resource-intensive and erro…

cs.AI2026

When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä +3

Competency Questions (CQs) are the central component of CQ-verification, an established process in which an ontology is evaluated against a set of natural language questions to det…

cs.AI2026

Tacit Knowledge Extraction via Logic Augmented Generation and Active Inference

Lorenzo Lamazzi, Aldo Gangemi, Alessio Giberti +4

Tacit knowledge plays a central role in human expertise, yet it remains difficult to capture, formalize, and reuse in machine-interpretable form. This challenge is especially relev…

cs.AI2025

The Belief-Desire-Intention Ontology for modelling mental reality and agency

Sara Zuppiroli, Carmelo Fabio Longo, Anna Sofia Lippolis +6

The Belief-Desire-Intention (BDI) model is a cornerstone for representing rational agency in artificial intelligence and cognitive sciences. Yet, its integration into structured, s…

cs.AI2025★ 3 cited

Large Language Models Assisting Ontology Evaluation

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä +3

Ontology evaluation through functional requirements, such as testing via competency question (CQ) verification, is a well-established yet costly, labour-intensive, and error-prone…

cs.AI2025

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisarkka +3

Large Language Models (LLMs) have shown significant potential for ontology engineering. However, it is still unclear to what extent they are applicable to the task of domain-specif…

cs.AI2025

Enhancing multimodal analogical reasoning with Logic Augmented Generation

Anna Sofia Lippolis, Andrea Giovanni Nuzzolese, Aldo Gangemi

Recent advances in Large Language Models have demonstrated their capabilities across a variety of tasks. However, automatically extracting implicit knowledge from natural language…

cs.AI2025★ 1 cited

Ontology Generation using Large Language Models

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä +5

The ontology engineering process is complex, time-consuming, and error-prone, even for experienced ontology engineers. In this work, we investigate the potential of Large Language…

cs.AI2024★ 8 cited

Logic Augmented Generation

Aldo Gangemi, Andrea Giovanni Nuzzolese

Semantic Knowledge Graphs (SKG) face challenges with scalability, flexibility, contextual understanding, and handling unstructured or ambiguous information. However, they offer for…

cs.AI2022★ 4 cited

Automatically Drafting Ontologies from Competency Questions with FrODO

Aldo Gangemi, Anna Sofia Lippolis, Giorgia Lodi +1

We present the Frame-based ontology Design Outlet (FrODO), a novel method and tool for drafting ontologies from competency questions automatically. Competency questions are express…

cs.AI2021★ 4 cited

An Ontology Design Pattern for representing Recurrent Situations

Valentina Anita Carriero, Aldo Gangemi, Andrea Giovanni Nuzzolese +1

In this paper, we present an Ontology Design Pattern for representing situations that recur at regular periods and share some invariant factors, which unify them conceptually: we r…

cs.AI2020★ 18 cited

The Landscape of Ontology Reuse Approaches

Valentina Anita Carriero, Marilena Daquino, Aldo Gangemi +4

Ontology reuse aims to foster interoperability and facilitate knowledge reuse. Several approaches are typically evaluated by ontology engineers when bootstrapping a new project. Ho…

cs.AI2020★ 19 cited

A Reference Software Architecture for Social Robots

Luigi Asprino, Paolo Ciancarini, Andrea Giovanni Nuzzolese +2

Social Robotics poses tough challenges to software designers who are required to take care of difficult architectural drivers like acceptability, trust of robots as well as to guar…

cs.AI2019★ 56 cited

Pattern-based design applied to cultural heritage knowledge graphs

Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli +3

Ontology Design Patterns (ODPs) have become an established and recognised practice for guaranteeing good quality ontology engineering. There are several ODP repositories where ODPs…

cs.AI2019★ 4 cited

SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems

Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti +1

Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been scarcely…

cs.AI2019★ 118 cited

ArCo: the Italian Cultural Heritage Knowledge Graph

Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli +4

ArCo is the Italian Cultural Heritage knowledge graph, consisting of a network of seven vocabularies and 169 million triples about 820 thousand cultural entities. It is distributed…