Daniel,

An ARFF file is just a collection of n-tuple data items where each tuple
dimension has defined type information.  It also has a dimension that
is marked as being the "class" of the data item.  So because it's
basically just a big table of data you could in theory put any kind of
information you like in there provided that you are a little creative
in the encoding.

However while you could do something like that with an ARFF file it
probably doesn't make much sense.  ARFF files carry with them the
implicit assumption that the data items are more or less i.i.d. and
that you suspect that there is some sort of explicit relationship
between the dimensions; in particular you usually are interested in
the abilty to predict the class dimension using the other dimensions.
This is how Weka classifiers interpret the files.

So in short:  I'm sure you could jam KNOW data into an Arff file but
I don't really see why doing so would make much sense.

Cheers
Shane

Daniel Colonnese wrote:
For those of us who are following the KNOW thread, could somebody comment on the capabilities of KNOW beyond existing knowledge representation language such as the ARFF format for the popular WEKA system.
I've input data into such a system before and while existing systems have extensive grammar for representing logical relations they have very limited capabilities for more ambiguous knowledge.
The KNOW document Ben posted a link too says:
"Syntax to semantics mapping in the natural language module, in which the final result should be represented in this language;"
This kind of capabilities would certainly be a huge advance over something like ARFF. If anyone works with ARFF, could he or she comment on the possibilities of such translation with the ARFF grammar? Does anyone who's familiar with the technical workings of knowledge representation language have any idea on how this kind of mapping could be accomplished? -Daniel


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