A Survey of Top-Level Ontologies - to inform the ontological choices for a Foundation Data Model

Autor: Partridge, Chris, Mitchell, Andrew, Cook, Al, Sullivan, Jan, West, Matthew
Rok vydání: 2020
Předmět:
DOI: 10.17863/cam.58311
Popis: The Centre for Digital Built Britain has been tasked through the Digital Framework Task Group to develop an Information Management Framework (IMF) to support the development of a National Digital Twin (NDT) as set out in “The Pathway to an Information Management Framework” (Hetherington, 2020). A key component of the IMF is a Foundation Data Model (FDM), built upon a top-level ontology (TLO), as a basis for ensuring consistent data across the NDT. This document captures the results collected from a broad survey of top-level ontologies, conducted by the IMF technical team. It focuses on the core ontological choices made in their foundations and the pragmatic engineering consequences these have on how the ontologies can be applied and further scaled. This document will provide the basis for discussions on a suitable TLO for the FDM. It is also expected that these top-level ontologies will provide a resource whose components can be harvested and adapted for inclusion in the FDM.
Databáze: OpenAIRE