Dear all

the issue is extensively discussed in this paper:

Niccolucci, F. & Hermon, S. Expressing reliability with CIDOC CRM, Int J Digit 
Libr (2016). https://doi.org/10.1007/s00799-016-0195-1

I can send a draft copy to those interested - but not broadcast it for 
copyright reasons.

Shortly, the idea is to consider the assessment of the assignment as an E14 
Measurement, which measures a dimension, the uncertainty or better the 
reliability of this assignment. The outcome E60 Number of this measurement can 
be anything: a number, a function, an ordinal value. It is linked to the 
dimension by P90 has value. We were actually proposing a numeric approach and 
that’s why we end up with a number.

I tend to disagree with Robert’s statement that quantification is in this case 
useless for public systems. In my opinion it is instead paramount for data 
reuse, as the stars in Booking.com reviews are paramount to choose an hotel. It 
doesn’t matter if the statement “Martin Doerr is an alien from Saturn” has 
reliability 0.000001 for you and 0.1 for me; people who know you and me can 
draw conclusions exactly because they know you and me. This, regardless the 
truth of the statement, which every SIG member knows to be true :-)

Perhaps the explanation of the “subjective" approach to this quantification may 
provide additional insight. references 7 and 8 in the paper explain this 
approach in a quite difficult and complicate way, that’s why I quote them.

The paper also addresses how this compares to the CRMinf approach and I6 Belief 
value. If on this regard something changed in CRMinf after early 2016, it is of 
course not taken into account. 

Finally, there are provision to document who said that, why, and where it is 
documented.

Best regards

Franco



Prof. Franco Niccolucci
Director, VAST-LAB
PIN - U. of Florence
Scientific Coordinator
ARIADNE - PARTHENOS

Piazza Ciardi 25
59100 Prato, Italy


> Il giorno 03 ott 2017, alle ore 18:15, Robert Sanderson 
> <rsander...@getty.edu> ha scritto:
> 
> 
> We have dealt with this situation by using AttributeAssignment, as in RDF the 
> .1 (and .2) properties would require reification anyway.
> It can also cover “workshop of” or “style of” style attributions which are 
> often uncertainty about the individual.
> 
> We resisted trying to quantify uncertainty, as from an interoperability 
> viewpoint, there’s very little to be gained from saying that one person is 
> 5/10 sure of an assertion whereas someone else is 4/10 certain… the 
> temptation is to use the strength of belief as an indicator of likelihood of 
> truth, rather than the state of mind of the asserting agent.  The first would 
> be useful but impossible, we consider the second not to be useful for 
> interoperability between public systems.
> (Which is not to say it’s not valuable, just not in our scope of work)
> 
> Rob
> 
> On 10/3/17, 6:04 AM, "Crm-sig on behalf of martin" 
> <crm-sig-boun...@ics.forth.gr on behalf of mar...@ics.forth.gr> wrote:
> 
>    Dear All,
>    Following a request from Dominic how to deal with uncertain associations,
> 
> 
>    such as "probably author of" I'd like to discuss a solution expanding 
> properties
>    with the "Property Class" PC and adding a "certainty value" as a ".2" 
> property for all those cases in which the belief is the one of the 
> maintainers of the knowledge base,
> 
> 
>    in contrast to an explicit inference by a particular actor.
> 
> 
>    Best,
> 
> 
>    martin
> 
>    -- 
> 
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