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20242026
most citedLogic Augmented Generation

8 citations · 12 across the 9 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

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★ 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…