Dear Colleagues,
Attached is a copy of the report: “A Framework for Composition - De-composing structure”. This is our first piece of the Foundation Data Model. We would appreciate your reading it and your comments on it both in terms of content and readability.
However, I have to apologise, because as is often the case at this time in the financial year, we are up against deadlines, which together with producing this taking longer and proving more challenging than we had anticipated means that for your comments to be addressed in this edition, we need them by COB Monday 15th March. If you can’t make that deadline, please still provide your comments. There is more to do on this subject and in the new financial year we will be addressing challenges which we identified, but did not have time to address in this report. We will therefore either be updating this document or producing an Part 2, and which of those we choose to do would be influenced by the comments we receive.
Just to wet your appetite, here is an excerpt from the introduction.
“At the core of the notion of a component breakdown is the component as an integral (dependent) part of the composite whole. This leads to a rich formal structure, one that requires careful consideration to capture well enough. If one is not sufficiently aware of this structure, it is difficult to determine what is required to produce a reasonably accurate representation – in particular, one that is sufficiently accurate to support interoperability.
“In this report, we describe this rich formal structure and develop a framework for assessing how well a data model (or ontology) has captured the main elements of the structure. This will enable people to both assess existing models as well as design new models. As a separate exercise, as an illustration, we develop a data model that captures these elements.”
We look forward to receiving your comments which can be posted here or sent to me privately as you wish.
Regards
Matthew West
Dr Matthew West OBE
Technical Lead – National Digital Twin programme
https://www.cdbb.cam.ac.uk/what-we-do/national-digital-twin-programme
Regards,
Chris Partridge
Chris Partridge |
Chief Ontologist | BORO Solutions Limited | www.BOROSolutions.co.uk
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Graham Meaden
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Regards,
Chris Partridge
Chris Partridge |
Chief Ontologist | BORO Solutions Limited | www.BOROSolutions.co.uk
M: +44 790 5167263 | e: partr...@borogroup.co.uk
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Registered in England & Wales | Company No: 06025010 | VAT No. GB 905 6100 58
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Dear Andrew,
Very pleased to hear you found it a good read.
Thank you for these reflections and examples. Very helpful. Our whole approach is to work from data or thought experiments to test what we are doing, so these examples from a different discipline are particularly useful. We will work them through the sausage machine.
Regards
Matthew West
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inline ....
Hi Matthew.A great read and quite though provoking. The diagrams were excellent and easier to read for those less skilled in formal logic.I particularly liked the section on atomic vs. molecular composition (very useful mental model to consider when defining Business Intelligence data models) and Cover as a concept to ensuring completeness of analysis.It also raised a few thoughts on the subject matter, which I have posted here just for stimulation rather than as formal comments. I also apologise if these points are a bit "A Level" as opposed to to the "Post Doc" standard you chaps are working at.Null Component and Exceptions OnlyOn the null component concept, in life sciences, the absence of something can be critical - for example someone who has an organ or limb missing either at birth, or removed at a later stage.
This "missing" thing is important and needs to be explicitly stated rather than implied by comparison with a standard "template" of component organs that should be present, or simply not mentioned because having something is "normal".
The fact that I may have 2 eyes won't be mentioned on my medical record, but the fact I have one missing or ne that is damaged certainly would be.Hence body components will only be mentioned on an exceptions basis - only if the component is of specific interest.
- If the component was removed, then it is simply a temporal part, but its absence needs to be easily accessible rather than delving back through temporal parts to discover when it was removed.
- If it was never present, that is a slightly different scenario but still needs capturing.
If I was producing a reference data model to cover this scenario, by default, a person would have no component parts.
- A component may be assumed to be present because a standard template says it would normally be there
- I would only create data for a component if it is in some way interesting
- I would create the persons missing organ as a component, but then indicate it as "not present".
This component could then be linked to either Event which was either its "removal" (e.g. accident/surgery) or an "investigation" which determined it was not present (i.e. a diagnosis).
MixingIt also stimulated some thoughts regarding "mixing" of fluids and the resultant identity of the material formed by it.
A good example would blood and transfusions. Blood is a composite of multiple materials which can be separated to various levels out if required (water, enzymes, even down to individual cells) , or considered as a whole.During a transfusion, foreign blood becomes mixed with the patients so afterwards, the identity of the persons blood becomes a mix of their the donors.
After approx. 4 months, the foreign matter is largely replaced by the patients so it becomes purely theirs and no longer has any traces from the donor - unless they have been unfortunate enough to contract something which has multiplied.
I don't know if this impacts on your analysis but it presents an interesting use-case to test your hypothesis to see how it would be accommodated because it is a little different from the usual car analogies.
When is something a Molecule or an Atom?The level of detail that is useful varies depending on the business context. Something that is atomic to me (e.g. as a consumer) may be a molecule to another person (e.g. as a supplier).
Sometimes an item can be both to the same person in different contexts.
A good example would be food and allergens - I don't normally care what the ingredients of a cake I procure are, but when it is on sale, I need to consider the ingredients so I can warn people with allergies.The Construction History section covers this, but the ingredients as a general concept are more of an upwards classification of the item as opposed to a constructional component i.e. "Contains Dairy" (classification?) vs. than "10ml Milk" (decomposition).
I also found your comment "if a component is missing from a BOM or a WMS, then the composite product or project is not whole, it is incomplete. It probably won’t work or won’t work properly." quite amusing in a medical context - looking at para-Olympic athletes suggests humans are great at adapting :-)
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Dear Graham,
A good question, but not really one for Andrew.
@andrew
To your point about Null Component and Exceptions Only there is a question of whether the TLO will proceed with a closed world assumption or an open world assumption.
https://en.wikipedia.org/wiki/Closed-world_assumption
[MW] Open and closed world assumptions are largely a red herring for the NDT, since it is really about how reasoners are going to work, not what it is you are talking about. The NDT is not about reasoning it is about data sharing, so the open/closed world problem does not really arise (except in as much as we used reasoning for quality management of e.g. the reference data).
Regards
Matthew
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