To: | "'[ontolog-forum] '" <ontolog-forum@xxxxxxxxxxxxxxxx> |
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From: | "Rich Cooper" <rich@xxxxxxxxxxxxxxxxxxxxxx> |
Date: | 2009年7月16日 09:15:03 -0700 |
Message-id: | <20090716161521.55952138D1A@xxxxxxxxxxxxxxxxx> |
Sincerely,
Rich Cooper
EnglishLogicKernel.com
Rich AT EnglishLogicKernel DOT com
John Bottoms wrote:
JB> My understanding of categories consists of the following:
(domain == professional discipline or context across time
or across a number of contributors)
RC> If this is a continuation of the Semantic Systems thread (?), then some of the emails we have been seeing about "Measures" might be relevant to distinguishing individuals from groups. If we need a Property (Measure), we need to collect specimen individuals using that Measure before we can categorize the individuals or the group in any way.
But it still seems necessary to have a "window function" ("membership predicate?") that will distinguish A from Not A specimens based on the Value of the measured Property, thus creating the first Category - A.
Every Category requires a Predicate, so that must be next.
After that, I concede that Conjunction be canonized into the ontogeny.
JB>
1. Quantification of an environment can be accomplished
using categories.
2. The domain is determined by a boundary and the ideal
quantification process divides the domain efficiently.
3. The metric for the effectiveness quantification is the
coverage of the domain. However, this may also
include metrics that include more functionally useful
components such as means.
My question is related to the effective coverage and is, in
part, derived from the criticism of the DIKW (or any other
pyramid) of the abstractions of knowledge.
Q: "Should it be possible to replace the existing approach to
categories with an approach that extracts measured concepts
from meanings and then performs cluster analysis on those
concepts"?
RC> Yes. For one example, see:
JB> Rational:
a.) One of the weakness of the category concept is that they
are designed for coverage fo a domain for which the boundary
may be poorly ascribed or poorly understood. e.g. we have
seen redefinition of "I.Q" to include spatial and musical
components.
b.) Next, domain boundaries change across time and new categories
may need to be added; for those changes the new entities must
be vetted. This could be done using cluster analysis.
c.) Finally, the redefinition of the process for determining
categories could be automated and because the process relies
on a set of meanings rather than a set of categories, it is
easier to perform vetting on the meanings.
RC> John that last point isn't clear to me at all, but all the preceding sounds like a great start on reviewing identification and categorization processes.
-John Bottoms
FirstStar
T: 978-505-9878
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