Automatic facet generation
Claudio Gnoli <[email protected]> Mon, 23 Feb 2004 18:03:36 +0100
| Newsgroups | gmane.comp.infodesign.facetedclassification |
|---|---|
| Message-ID | <[email protected]> |
""" [Marcel van M : Jan 13]
1. does it make sense to turn automatically generated
metadata into faceted metadata?
2. Does it require humans to determine what is a facet
and what isn't?
"""
Thinking again about Marcel's questions, they look as
very deep and challenging ones...
From the theoretical point of view, I suppose we should
go back to the definition of what is a facet, to see whether
its recognition could automatized in any way. More or less,
a facet is a category being frequent and relevant within
a given discipline. So, let's imagine to feed an automatic
clustering software with a corpus of digital documents
from a given discipline. AFAIK, such softwares are able
to extract relevant words from the corpus on the basis
of their frequency distribution, and to establish relations
between those and other words -- EG as it can be seen
in the Vivisimo metasearch engine.
However, to establish categories we are searching for
words being in a genus-species relation with other words,
while I suspect that softwares cannot guess the kinds of
relations -- EG they can say that "reptile" and "snake" are
highly associated, but not that snakes _are a kind of_
reptiles, which is necessary to decide that the main category
is "reptiles", not "snakes" (nor "tails", "poisons", etc.).
(Some expert in the statistical analysis of texts could
correct me on this.)
A second problem is that the supposed facet, in order to be
correctly used and sorted, should be connected to one of
the fundamental categories of facet analysis, such as Object,
Part, Property, Process, Operation, Agent, Space, Time etc.
(though this is not done in most digital applications).
One possible direction towards this could be using
morphological analysis -- EG guessing that verbal frequent
terms are Process or Operation facets, and so on; but
we know how irregular is natural language. NPL could play
some role in this.
All in all, I'm afraid that such tasks are beyond the current
capability of machines, hence at least the final stages of
facet recognition should still be done by humans...
----------
Thanks for playing.
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