Re: Inconsistent models, mapping, interoperability, and the SUO
On Friday 25 March 2005 23:49, Rich Cooper wrote:
> Rob Freeman wrote
>
> > Most of the information you need is not captured in those (assumed)
> > hierarchical relationships though, is it?
>
> Correct, that information is not in WordNet 2.0 and also not all of the
> drugs that have to be watched for are listed in WordNet either.
>
> The point is that WordNet contains the initial charge of common
> English terms, a lattice of nouns, the synsets of nouns, verbs, adjectives
> and adverbs in common usage. It also contains a number of phrases,
> definition glosses, and other useful material.
OK, but you are starting with something which does not have (all) the
information you need, and which is going to force a (weak) format on the
information you need when you do get it
What I want to see is information in the structure. If we have information in
the structure we can restructure it to suit our purpose. That this is
necessary I hope has been established over the last few weeks (philosophical
interpretation apart.)
The fewer preconceptions there are in the actual nodes, and the more in the
structure, the more powerful (capable of reinterpretation) your
representation will be.
WordNet gives you some structure, but as far as I can see it also takes it
upon itself to represent a lot of information (most?) where it can't be
reinterpreted, in the nodes.
And above all from your point of view, it doesn't even have most of the
information you need.
Why not do a little bit of extra early work to put some machine learning
infrastructure in place? Then you can extract all the information you need
from texts. And as a bonus you can keep that information in the structure,
which gives you the power to reinterpret.
I don't know how you would extract drug interaction information directly from
texts, but I'm sure it's possible (because I believe meaning is coded in
texts in patterns, which can be found.)
Can you give me some examples of exactly the kind of information you need, in
a structure you could use.
-Rob
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