A different kind of knowledge mining.
saco at moon.yerphi.am
Fri Mar 14 13:25:43 EST 2003
<gjgraham at concentric.net> wrote in message news:<b46rh1$guh at dispatch.concentric.net>...
> I have written a Perl program that reads scientific abstracts and
> joins fragmented assertions from them to make longer assertions.
> Suppose that one publication says that Drug A increases Factor B,
> that a second publication says that Factor B increases Factor C, and
> that a third publication says that Factor C increases liver cancer.
> This would suggest that Drug A might indirectly cause liver cancer.
> The purpose of this Perl program (called Asserter) is to find and
> assemble such assertion chains, and bring them to the attention of
> the user.
> Although Asserter is currently adapted to process scientific
> abstracts, in principle it could be adapted to process text from
> any source on any subject. I think that in the future, there will be
> many programs like Asserter in use to help people exploit the vast
> amounts of information available on the Internet. It amazes me that
> programs of this sort are not already available. (But maybe they are,
> and I have not found them.)
> Asserter still has plenty wrong with it. It is slow, and chokes on
> large amounts of data. So, at this stage, it is only for the curious
> and the patient.
> Asserter is available at www.xenobiotherapeutics.com. I eager to
> read peoples' comments and suggestions for improvement.
Computer scientists have been working on similar problems for quate a
while. Having such a tool would be great. If one can
interface it with prolog it would be possible to make even more
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