Hi,
The problem of context may be avoided by using an unambiguous language (for
internal representation). Context-dependent words are a feature of natural
language (NL) only. It arises when an NL word maps to multiple concepts in
the knowledge representation. It is necessary to separate NL processing
(ambiguous) with the internal KR (unambiguous).
Well, no.
It is true that NL has unnecessary ambiguities, but it is NOT true
that a good knowledge representation will remove ALL ambiguities.
Complete removal of ambiguity is an unachievable ideal, and trying to
approach it too closely results in massive increase in the complexity
of representations. Some degree of ambiguity is often useful to
achieve representational compactness.
And, context is not just about words having different meanings ---
it's about concepts having different meanings in different situations
... which need to be determined **on the fly** by a contextualizing
process, and can't be pre-figured up-front by decomposing every
concept into a set of context-specific subconcepts...
-- Ben G
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