Hi all

Happy New Year

The property name: Perhaps we should borrow from the nomenclature of ordinal 
statistics and use

ranked higher than (ranked lower than)

 

Hi Martin 

Excellent questions!

 

1] Research questions that are enabled:-

I envisaged questions of the form that Athanasios has suggested as well as the 
opposite; “Where are examples of “x” object type that have a condition of “y” 
or better that I can have access to for comparative observations”

In the map world I also thought of the integration question “During the 
planning of this expedition was there a map at “x” scale or larger published 
and available within “y” distance of the expedition headquarters”. This was the 
type of question envisaged in the Arctic Cloud project.

 

2] Reasons for CRM rather than SKOS:-

As George says we control CRMbase and not SKOS 😊. More substantially the 
solution of skos:OrderedCollection does not allow the integration of different 
terms from different sources into the same term ordered collection without 
physically merging them. While that could be overcome (it scales like a bag of 
bolts) the more substantial problem is it does not allow branching paths 
through the collection; for example Excellent > Good > Poor and Excellent > 
Average > Poor is not possible. Another concern is that all Collections are 
automatically ordered by their position in the implemented list: that is all 
collections are ordered even if there is no such ordering in the real world.

 

3] Coverage of problems:-

Collection management: questions of collection morbidity, storage effectiveness 
and process validation

Museology: Do different collection management regimes materially affect the 
short, medium and long term collection conservation

Material Science: which materials have survived best

Cultural Heritage Geo-informatics: What map scales were available, when, for 
what and for/by whom.

Risk Management: What is the current state across institutions. What is the 
history of risk classification across the domain/region/institution type

Audience Research: Many institutions are starting to collect Likert scale data 
as part of the feedback on exhibitions. This could then be linked to exhibition 
content to gain insight into the affective museum experience. This is what Erin 
Canning is working on.

 

Rgds

SdS

 

Stephen Stead

Tel +44 20 8668 3075 

Mob +44 7802 755 013

E-mail  <mailto:[email protected]> [email protected]

LinkedIn Profile  <https://www.linkedin.com/in/steads/> 
https://www.linkedin.com/in/steads/

 

From: Crm-sig <[email protected]> On Behalf Of Martin Doerr
Sent: 03 January 2019 17:56
To: [email protected]
Subject: Re: [Crm-sig] **NEW ISSUE** Ordinal Property for E55 Type

 

Dear All,

 

Very nice all that, but the critical question for a concept to enter CRM base 
is:

 

What is the scientific question in an information integration environment, that 
needs this property to make the relevant connection/ inference,

 

and further:

 

Why is that proposed for CRM base and not for SKOS?

 

and finally:

 

What is the coverage of problems that benefit from this property?

 

These concerns are part of the methodology we follow, and most substantial. We 
must make sure they appear in the "principles".

 

Best,

 

Martin

 

On 1/3/2019 7:32 PM, Stephen Stead wrote:

Excellent then the revised property, scope note and examples would be:-

 

Pxx conceptually follows (conceptually precedes)

Domain: E55 Type

Range: E55 Type

Quantification: many to many (0,n:0,n)

 

This property allows instances of E55 Type to be declared as having an order 
relative to other instances of E55 Type, without necessarily having a specific 
value associated with either instance.  This allows, for example, for an E55 
Type instance representing the concept of "good" to follow the E55 Type 
instance representing the concept of "average". This property is transitive, 
and thus if "average" follows "poor", then "good" also follows "poor". In the 
domain of statistics, types that participate in this kind of relationship are 
called "Ordinal Variables"; as opposed to those without order which are called 
"Nominal Variables". This property allows for queries that select based on the 
relative position of participating E55 Types.

 

Examples:

  * Good (E55) conceptually follows Average (E55)

  * Map Scale 1:10000 (E55) conceptually follows Map Scale 1:20000 (E55)

  * Fire Hazard Rating 4 (E55) conceptually follows Fire Hazard Rating 3 (E55)

 

How does that seem?

Rgds

SdS

 

Stephen Stead

Director

Paveprime Ltd

35 Downs Court Rd

Purley, Surrey 

UK, CR8 1BF

Tel +44 20 8668 3075 

Fax +44 20 8763 1739

Mob +44 7802 755 013

E-mail  <mailto:[email protected]> [email protected]

LinkedIn Profile  <https://www.linkedin.com/in/steads/> 
https://www.linkedin.com/in/steads/

 





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 Dr. Martin Doerr
              
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