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[ontolog-forum] Polysemy and Subjectivity in Ontolgies - theHDBIexample

To: "'[ontolog-forum] '" <ontolog-forum@xxxxxxxxxxxxxxxx>
From: "Rich Cooper" <rich@xxxxxxxxxxxxxxxxxxxxxx>
Date: Sat, 6 Nov 2010 14:07:11 -0700
Message-id: <20101106210714.AC206138CC7@xxxxxxxxxxxxxxxxx>

Here is the image from the study which shows how the points cluster:

 

You can notice groups of points to call a cluster, which is equivalent to using FCA methods on, in this case, numeric score data.  

 

T-Rich

 

Sincerely,

Rich Cooper

EnglishLogicKernel.com

Rich AT EnglishLogicKernel DOT com

9 4 9 \ 5 2 5 - 5 7 1 2


From: ontolog-forum-bounces@xxxxxxxxxxxxxxxx [mailto:ontolog-forum-bounces@xxxxxxxxxxxxxxxx] On Behalf Of Rich Cooper
Sent: Friday, November 05, 2010 8:57 PM
To: '[ontolog-forum] '
Subject: [ontolog-forum] Polysemy and Subjectivity in Ontolgies - theHDBIexample

 

I'm interested in constructing ontologies from that initial condition of only measured data, not rules and relationships just yet (later in the ontology's development, we will add rules and relationships, but not just yet).  Call this ontology O0.  Initially it has a set of samples, and each one can be accessed by the identifiers O0[1] through O0[O0.count] if that notation is acceptable to you.  

 

Here is a quote from this type of research, which is rather typical of medical databases being KAed:

 

Such a balanced data base with weighted and resealed scores would also support a variety of cross tabulation studies to show the joint occurrence of different preferences or avoidances in a balanced sample reflective of the larger population. Generalizability studies to different cultures would require a data base appropriate to each culture.

 

Here is the study from which this quote came, if you are interested in deeper context:

 

http://www.hbdi.com/uploads/100021_resources/100331.pdf

 

Rather than starting with predefined classes, users started with a database of numerical data scores, and then had observers rank the observed facts, which relate to personality inventories of various measures which account for subjective differences among a large number of people - 439 in some of these factors.  

 

Then they applied a theory - the HDBI study checked validity of the theory's various classes (A, B, C and D) in a multidimensional space and found four prominent clusters, together with a fairly small fifth group (highly distributed) of other samples - the outliers.  

 

The study deals with individual differences of the people in the sample measurements, and how the sample population fits into the various clusters.  I think it could illuminate any discussion we might want to have on subjective factors in ontologies, on how ontologies are perceived, and on how they can be constructed from real data.  

 

Is anyone interested?  Please read the study if you can, though you might want to post while reading it as well.  

 

Thanks,

-Rich

 

Sincerely,

Rich Cooper

EnglishLogicKernel.com

Rich AT EnglishLogicKernel DOT com

9 4 9 \ 5 2 5 - 5 7 1 2

 

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