[Crm-sig] NEW ISSUE: Approximate Dimensions
Robert Sanderson
RSanderson at getty.edu
Wed Oct 16 18:54:45 EEST 2019
Thanks Martin! A couple of clarifying questions, please …
> The point is, that true numerical values of Dimensions do not exist for continuous value spaces.
Could you explain how you see this being different for E53 Place? The true Place also doesn’t exist as space is also continuous. Doubly so as the definition of place says it is independent of matter. No matter how precise I am about a lat/long/altitude, I still could be more precise. Or more precise about a location relative to an object as a frame of reference; notably as this frame of reference would need to be measured … which would mean that Place would rely on the Dimensions. So it seems like we can reduce the Place approximation to a Dimension approximation, at least in the case of relative coordinate spaces.
> For any approximation with known inclusion or overlap properties to the real place, P189 should NOT be used. A "real place" can be confirmed by multiple observations for things that do not move or have not moved.
And also for this … how would we have multiple observations of the Place, such that it was clear that they were all approximations of a single phenomenal place, without using P189? For example, I have a bounding box for my city of birth, and a centroid pin for it … I wasn’t born in two places, yet without using P189, I would need to have two P7s … no? What am I missing? 😊
Many thanks,
Rob
From: Crm-sig <crm-sig-bounces at ics.forth.gr> on behalf of Martin Doerr <martin at ics.forth.gr>
Date: Wednesday, October 16, 2019 at 8:18 AM
To: "crm-sig at ics.forth.gr" <crm-sig at ics.forth.gr>
Subject: Re: [Crm-sig] NEW ISSUE: Approximate Dimensions
Dear Robert, All,
Your proposal well taken, but the recent change in the scope note was exactly that "The properties of the class E54 Dimension allow for expressing the numerical approximation of the values of instances of E54 Dimension. ".
The point is, that true numerical values of Dimensions do not exist for continuous value spaces. Therefore, any measurement and opinion about the values are approximations.So, there is no need for another property. Measurements have typically known tolerances, which may be statistical, as mean deviations, or absolute.
The property P189 was introduced because of the huge number of geo-referenced resource with no indication how distant or different the approximating area is from the real place. For any approximation with known inclusion or overlap properties to the real place, P189 should NOT be used. A "real place" can be confirmed by multiple observations for things that do not move or have not moved.
This scenario does not exist in the same way for dimensions in general.
I recommend to adjust scope notes and guidelines adequately. If a dimension is given as 10cm, it is per definitionem an approximation, because no natural thing has dimension 10,00000000000000000000000000000000000000000000000000000000000000000000000 cm.
A fine example of measurement tolerances is the recent problem of determining the proton radius:
https://en.wikipedia.org/wiki/Proton_radius_puzzle
See also:
http://pdg.lbl.gov/2012/reviews/rpp2012-rev-history-plots.pdf
https://www.quantamagazine.org/proton-radius-puzzle-deepens-with-new-measurement-20160811/
I think it is a question of guide lines how to interpret the absence of P10a,b.
Opinions?
Best,
Martin
On 10/15/2019 7:13 PM, Robert Sanderson wrote:
Dear all,
In recent history, we have added P189 approximates for the practically ubiquitous scenario where we have recorded the approximate “declarative” place of an event, but not the exact “phenomenal” place. P189 allows us to say that the event took place at the phenomenal place, which is then approximated by the declarative place.
Thus:
Birth_of_Rob a E67_Birth ;
p7_took_place_at [
a E53_Place ;
rdfs:label “The exact place Rob was born” ;
p189i_approximated_by [
a E53_Place ;
rdfs:label “New Zealand” ;
// …
]
]
This gives us two significant advantages:
1. We can have multiple declarative places associated with the single phenomenal place. This allows us to be clear that the event took place in one location, but we have multiple ways to describe that location in our information system.
2. If we can be precise (enough) about the phenomenal place (e.g. we have the GPS coordinates from the digital camera that took the photograph), then we do not have a different model … we can simply ascribe those coordinate values to the phenomenal place.
While the E53 Place scope notes do not talk about approximation, there is another class that does … the very next one, E54 Dimension.
An instance of E54 Dimension represents the true quantity, independent from its numerical
approximation, e.g. in inches or in cm.
However, there isn’t a property that allows us to use this same approximation pattern for Dimensions.
The same advantages would apply:
1. We can have multiple declarative dimensions (10 inches, 25 centimeters) that approximate the true dimension, rather than implying there are two different dimensions.
2. If we do not have this case, because the dimension is measured very accurately and has only a single numerical representation, then we can simply use a single Dimension.
This is also useful for conservation when the same dimension is measured to different degrees of accuracy with different instruments or techniques … there is only a single height (for example) but it is measured with a laser, or by estimation.
Thus I would like to propose the addition of a new property, Pxxx_approximates_dimension, that mirrors P189_approximates, that would be used to associate true dimensions with their approximations.
It would be used in exactly the same way as P189:
painting a Human-Made_Object ;
has_dimension [
a Dimension ;
p2_has_type <aat:height> ;
pxxxi_dimension_approximated_by [
a Dimension ;
p90_has_value 10 ;
p91_has_unit <aat:inches>
]
]
Thank you for your consideration of this issue! I’m happy to write up a draft scope note for discussion if the general issue is considered to be worthy of inclusion.
Rob
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