We discuss several limitations of current formalizations of Knowledge Graphs, considering in particular the central role they play in data preparation and in neuro-symbolic AI. We briefly discuss the characteristics of our proposal for a comprehensive framework based on formal logic whose goal is to both overcome these deficiencies and provide suitable tools for accommodating various extensions to the modeling features and the querying capabilities of AI systems based on Knowledge Graphs.
On the Need of a Formal Meta-modeling Semantics for Knowledge Graphs (Short paper) / Delfino, Roberto Maria; Lenzerini, Maurizio; Poggi, Antonella. - (2024). (Intervento presentato al convegno 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024) tenutosi a Bolzano, Italy, November 25-28, 2024.).
On the Need of a Formal Meta-modeling Semantics for Knowledge Graphs (Short paper)
Roberto Maria Delfino;Maurizio Lenzerini;Antonella Poggi
2024
Abstract
We discuss several limitations of current formalizations of Knowledge Graphs, considering in particular the central role they play in data preparation and in neuro-symbolic AI. We briefly discuss the characteristics of our proposal for a comprehensive framework based on formal logic whose goal is to both overcome these deficiencies and provide suitable tools for accommodating various extensions to the modeling features and the querying capabilities of AI systems based on Knowledge Graphs.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
