This paper was posted to Dbpedia-discussion mailing list by Sören Auer
and it seems and relevant enough to forward (forgive me if you
disagree).
---------- Forwarded message ----------
From: Sören Auer <auer(a)informatik.uni-leipzig.de>
Date: 9 Nov 2007 14:10
Subject: [Dbpedia-discussion] Paper: Autonomously Semantifying Wikipedia
To: dbpedia-discussion(a)lists.sourceforge.net
Hi all,
the paper "Autonomously Semantifying Wikipedia" [1] by Fei Wu and Daniel
S. Weldjust won the best paper prize at CIKM (ACM Sixteenth Conference
on Information and Knowledge Management) in Lisbon, Portugal.
I just had a short glance at the paper. Their work seems to apply
Machine Learning techniques in order to improve the coverage and quality
of Wikipedia. Regarding the relationship with Wikipedia they say:
The DBpedia system which extracts information from existing infoboxes
within articles and encapsulate them in a semantic form for query. In
contrast, KYLIN populates infoboxes with new attribute values.
Cheers,
Sören
[1]
http://www.cs.washington.edu/homes/weld/papers/wu-cikm07.pdf
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