What can knowledge graph alignment gain with Neuro-Symbolic learning approaches?

Knowledge Graphs (KG) are the backbone of many data-intensive applications since they can represent data coupled with its meaning and context. Aligning KGs across different domains and providers is necessary to afford a fuller and integrated representation. A severe limitation of current KG alignmen...

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Bibliographische Detailangaben

Hauptverfasser:	Cotovio, Pedro Giesteira, Jimenez-Ruiz, Ernesto, Pesquita, Catia
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Symbolic Computation
Online-Zugang:	Volltext bestellen
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