My 2 cents for whatever it's worth...
> per CPR, as a pair of value and datatype:
>
> ... [ trans:systolic [ muo:measuredIn trans1:mmHg ;
> muo:numericalValue "120" ] ;
> trans:diastolic [ muo:measuredIn trans1:mmHg ;
> muo:numericalValue "80" ] ] .
This is probably the best option as this allows you to switch units and
encapsulate unit transformations into specific functions.
> Another, potentially more attractive option, is to model units in the
> predicate:
>
> :X trans:bloodPressure
> [ trans:systolicMmHg "120" ;
> trans:diastolicMmHg "80" ] .
Switching units would be a challenge and require writing predicate rules?
> This greatly simplifies our life as we are otherwise likely
> to have a variety of e.g. BP data in the database: 120/80
> mmHg, 12/8 DmHg, 16000/10667 Pa,
> 16/11 MPa, 13 (PAM)
>
> which would lead to rediculous queries when we want to use the data:
>
> SELET ?sysM ?diaM {
> ?x trans:bloodPressure [ trans:systolic ?sys ;
> trans:diastolic ]
> FILTER (datatype(?sys) = u:mmHg) && datatype(?dia)
> = u:mmHg) }
> UNION SELECT (?sys*10 as ?sysM) (?dia*10 as ?diaM) {
> ?x trans:bloodPressure [ trans:systolic ?sys ;
> trans:diastolic ]
> FILTER (datatype(?sys) = u:dmHg) && datatype(?dia)
> = u:dmHg) }
> UNION SELECT (?sys*133 as ?sysM) (?dia*133 as ?diaM) {
> ?x trans:bloodPressure [ trans:systolic ?sys ;
> trans:diastolic ]
> FILTER (datatype(?sys) = u:MPa) && datatype(?dia) =
> u:MPA) } ... }
One approach to address this would be to adopt a canonical set of units and
apply transformations in and out of various data sources.
---Vipul
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