collaborators

9 papers

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.CL2025

The Medical Metaphors Corpus (MCC)

Anna Sofia Lippolis, Andrea Giovanni Nuzzolese, Aldo Gangemi

Metaphor is a fundamental cognitive mechanism that shapes scientific understanding, enabling the communication of complex concepts while potentially constraining paradigmatic think…

cs.AI2025

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

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…