Significant, from the Wikipedia article is this example of Ranganathan's metadata compacting method:
A common example of the colon classification is:
"Research in the cure of the tuberculosis of lungs by x-ray conducted in India in 1950s":
Main classification is Medicine
(Medicine)
Within Medicine, the Lungs are the main concern
(Medicine,Lungs)
The property of the Lungs is that they are afflicted with Tuberculosis
(Medicine,Lungs;Tuberculosis)
The Tuberculosis is being performed (:) on, that is the intent is to cure
(Treatment)
(Medicine,Lungs;Tuberculosis:Treatment)
The matter that we are treating the Tuberculosis with are X-Rays
(Medicine,Lungs;Tuberculosis:Treatment;X-ray)
And this discussion of treatment is regarding the Research phase
(Medicine,Lungs;Tuberculosis:Treatment;X-ray:Research)
This Research is performed within a geographical space (.) namely India
(Medicine,Lungs;Tuberculosis:Treatment;X-ray:Research.India)
During the time (') of 1950
(Medicine,Lungs;Tuberculosis:Treatment;X-ray:Research.India'1950)
And translating into the codes listed for each subject and facet the classification becomes
L,45;421:6;253:f.44'N5
All that becomes this: L,45;421:6;253:f.44'N5
The particular concepts incorporated into the example are not particularly relevant to internet indexing. Factually, I would say that only three facets are represented; Topic (hierarchically structured), Location (think geocodeing. Google Earth), and Time (Think, event calendar data, scheduled future events included).
We can dispense with delimiters, if the pattern structure remains consistent.
This style of encoding data could incorporate any number of facets.
What else might be included?
I've incorporated those I consider important and useful in the program, but it isn't written in stone.
Tom
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