Knowledge Graph Re-engineering Along the Ontological Continuum (extended version)
Knowledge graphs have become the primary vehicle for data integration and are critical to the success of modern AI, but the diversity of KG modelling practices, from lightweight vocabularies to richly axiomatised ontologies, makes integration and reuse expensive and brittle. This challenge is particularly acute in neuro-symbolic AI, where bridging neural and symbolic components depends on the ability to reengineer KGs to fit new requirements; GenAI now offers unprecedented automation capability, but without a principled understanding of the KG space, such automation remains conceptually ungrounded. We introduce the ontological continuum as that missing conceptualisation, a theoretical con...
| Authors | Enrico Daga, Valentina Tamma, Terry Payne |
|---|---|
| Primary category | cs.AI |
| Published | 21 May 2026 |
| Last updated at source | 23 July 2026 |
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