[FDM] Top-Level Categories: Categories for the Top-Level Ontology of the Information Management Framework - draft for review
Chris Partridge
This report is directed at a technical audience who are interested understanding how to prepare their data for use in the UK National Digital Twin.
Background
In 2017, the National Infrastructure Commission published Data for the Public Good (NIC, 2017) which set out a number of recommendations including the development of a UK National Digital Twin supported by an Information Management Framework of standards for sharing infrastructure data, under the guidance of a Digital Framework Task Group set up by the Centre for The National Digital Twin programme.
Much work has been done following this, but in particular
- A vision of how society can benefit from a UK National Digital Twin is set out in Flourishing Systems (Schooling, 2020).
- The direction for the technical standards, guidance and common resources needed as part of the Information Management Framework is set out in The pathway towards an Information Management Framework (Hetherington, 2020) and updated in Managing Shared Data (West, forthcoming).
In particular they identified the need for:
- A Foundation Data Model: a data model that provides the structure and meaning of data incorporating a top-level ontology based on science and engineering principles, enabling it to be extended to support the broadest possible scope consistently.
- A Reference Data Library: the classes and properties needed for the UK National Digital Twin that enables different organizations and sectors to describe things consistently.
- An Integration Architecture: the technical means, including open source software, for sharing data securely with authorised users.
Content
This report identifies the top categories that characterise the top-level ontology that will underpin the foundation data model (where top categories exclusively and exhaustively divide the world’s entities by their fundamental kinds or natures). With these in place, the UK National Digital Twin’s ontology has been characterised.
A thin slices approach (described in Developing Thin Slices (Partridge, forthcoming)) has been adopted for the development of the foundation data model. The category structure described in this report is being used as the foundation for that process. With these categories in place, that process has a firm foundation.
Regards,
Chris Partridge
Chris Partridge |
Chief Ontologist | BORO Solutions Limited | www.BOROSolutions.co.uk
M: +44 790 5167263 | e: partr...@borogroup.co.uk
BORO Solutions Limited | Registered Office: 2 West Street, Henley on Thames, Oxfordshire RG9 2DU
Registered in England & Wales | Company No: 06025010 | VAT No. GB 905 6100 58
Ian Cornwell
The TLO document is clear.
One trivial thing – since the text has numbered both the constructors and the corresponding relations from 1 to 4, wouldn’t it be easier for readers if the text retained the same number for the corresponding constructor and relation, or is there another reason why the two lists are ordered in their current way?
Chris Partridge
Regards,
Chris Partridge
Chris Partridge |
Chief Ontologist | BORO Solutions Limited | www.BOROSolutions.co.uk
M: +44 790 5167263 | e: partr...@borogroup.co.uk
BORO Solutions Limited | Registered Office: 2 West Street, Henley on Thames, Oxfordshire RG9 2DU
Registered in England & Wales | Company No: 06025010 | VAT No. GB 905 6100 58
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