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20012024
most citedDOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering

163 citations · 249 across the 16 of their papers we have counts for

collaborators

23 papers

cs.AI20242 cited

Neurosymbolic Graph Enrichment for Grounded World Models

Stefano De Giorgis, Aldo Gangemi, Alessandro Russo

The development of artificial intelligence systems capable of understanding and reasoning about complex real-world scenarios is a significant challenge. In this work we present a n…

cs.AI20248 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.CL2024

Do Language Models Understand Morality? Towards a Robust Detection of Moral Content

Luana Bulla, Aldo Gangemi, Misael Mongiovì

The task of detecting moral values in text has significant implications in various fields, including natural language processing, social sciences, and ethical decision-making. Prev…

cs.AI2024

Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations

Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi +1

This paper presents sandra, a neuro-symbolic reasoner combining vectorial representations with deductive reasoning. Sandra builds a vector space constrained by an ontology and perf…

cs.AI20241 cited

EFO: the Emotion Frame Ontology

Stefano De Giorgis, Aldo Gangemi

Emotions are a subject of intense debate in various disciplines. Despite the proliferation of theories and definitions, there is still no consensus on what emotions are, and how to…

cs.AI2023163 cited

DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering

Stefano Borgo, Roberta Ferrario, Aldo Gangemi +5

DOLCE, the first top-level (foundational) ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. DOLCE is inspired by c…