35 citations · 66 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 31 cited
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo +2
In this paper we focus on the opacity issue of sub-symbolic machine learning predictors by promoting two complementary activities, namely, symbolic knowledge extraction (SKE) and i…
cs.AI2024★ 35 cited
Large language models as oracles for instantiating ontologies with domain-specific knowledge
Giovanni Ciatto, Andrea Agiollo, Matteo Magnini +1
Background. Endowing intelligent systems with semantic data commonly requires designing and instantiating ontologies with domain-specific knowledge. Especially in the early phases,…