Alex Shapiro wrote:
> Here is the link:
>
> http://nooface.com/articles/01/11/06/1712235.shtml
>
> "...as the amount of searchable data soars, the retrieval process can
> become inefficient if the user's vocabulary does not match the index
> vocabulary used by the search process, or the user can not easily
> constrain a search path based on context
> ... This paper makes the case that the context problem can
> be overcome through data visualization, which provides an additional
> dimension for the user to specify their desired context...."
It certainly sounds pretty good. But since you evaluate the paper as not
that
good, let me get your thoughts on a few questions:
1. vocabulary mismatch and constraint based on context
-- is that one problem, or two?
2. If two, I take that no solution is being proposed for the first
problem?
3. In either case, I take it that ability to constrain the search wrt
(with respect to)
context means, for example, looking for looking for "shoes" in the
context
of "marching" rather than "dance", for example -- and further
distinguishing
context as pertaining to "marching band" rather than "forced night
march".
4. You have probably answered this question at length already, but
now that
can relate it to a specific problem:
a) How do data visualization tools help to constrain a search?
b) Assuming that they do make a difference, aren't they in
fact doing
the kind of automated indexing that would also make
constraint-
restrictions possible?
c) Is the difference between "data visualization" and
"automated indexing",
then, simply a matter of dynamic, client side indexing
with visualization
tools, vs. relatively static server-side work with
automated indexing
tools? (Graphic presentations aside, of course -- I'm
assuming that
any visual representation is irrelevant for the purposes
of constraining
a search. Or is there some way in which visual
representation is
relevant?)
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