Knowledge Graph Re-engineering Along the Ontological Continuum (extended version)
Researchers have introduced the concept of an "ontological continuum" to better understand and manage the diversity of knowledge graph (KG) modeling practices. This theoretical framework, characterized by distinctions between semantics and pragmatics, and properties and affordances, aims to provide a structured way to describe, compare, and transform KGs. The approach is empirical, observing real-world KG engineering to build a formal theory, with a case study on provenance knowledge demonstrating its application. AI
IMPACT Provides a theoretical framework to improve knowledge graph integration and reuse, potentially enhancing neuro-symbolic AI and GenAI applications.