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@informatik.uni-leipzig.de Date: 9 Nov 2007 14:10 Subject: [Dbpedia-discussion] Paper: Autonomously Semantifying Wikipedia To: dbpedia-discussion@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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