Dear all,
I am trying to represent an event which involves some natural language
constructs into topic maps. I have not been able to find a solution how
to represent language semantics.
Like for example:
"Number 10 denied that Gordon Brown exploited Lady Thatcher for
political ends by inviting her to Downing Street."
Our NLP tool can process such sentences, identifying the topics and
associations. However, there are cases, like the sentence above, where
an association "deny" refers to a cloud of topics (event) like ( "Gordon
brown"->"exploit"->"Lady Thatcher" etc). From the topic map standards, I
am not finding a proper way to formulate the association "deny" which
connects "Number 10" to the event saying that "Gordon Brown exploited
Lady Thatcher for political ends by inviting her to Downing Street,"
which in itself is a group of connected topics.
Does anyone have any idea how to represent such sentence constructions
in topic map?
Many thanks
Best Regards,
Chattun Lallah,
Research Assistant,
Intelligent Media Systems & Services Research Laboratory (IMSS),
Department of Computer Science,
School of Systems Engineering,
University of Reading,
Whiteknights,
RG6 6AY, UK
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