4 citations · 8 across the 11 of their papers we have counts for
8 papers · 1 filter
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…
Meanings are like Onions: a Layered Approach to Metaphor Processing
Silvia Cappa, Anna Sofia Lippolis, Stefano Zoia
Metaphorical meaning is not a flat mapping between concepts, but a complex cognitive phenomenon that integrates multiple levels of interpretation. In this paper, we propose a strat…
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…
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…
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…
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…
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…
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…