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

------------------------------------------------------------------------- This SF.net email is sponsored by: Splunk Inc. Still grepping through log files to find problems? Stop. Now Search log events and configuration files using AJAX and a browser. Download your FREE copy of Splunk now >> http://get.splunk.com/ _______________________________________________ Dbpedia-discussion mailing list Dbpedia-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion