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» Learning probabilistic models of the Web
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SIGUCCS
2003
ACM
15 years 11 months ago
WebDAV: what it is, what it does, why you need it
Legacy network file services such as NFS, SMB/CIFS, and AFP changed the way we worked. File services running on crossplatform networks allowed us to save our files on remote syste...
Luis O. Hernández, Mahmoud Pegah
WWW
2006
ACM
16 years 7 months ago
Reappraising cognitive styles in adaptive web applications
The mechanisms for personalisation used in web applications are currently the subject of much debate amongst researchers from many diverse subject areas. One of the most contempor...
Adam Moore, Elizabeth J. Brown, Helen Ashman, Tim ...
WWW
2005
ACM
16 years 7 months ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...
CIKM
2008
Springer
15 years 8 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
SEMWEB
2010
Springer
15 years 4 months ago
ORE - A Tool for Repairing and Enriching Knowledge Bases
Abstract. While the number and size of Semantic Web knowledge bases increases, their maintenance and quality assurance are still difficult. In this article, we present ORE, a tool ...
Jens Lehmann, Lorenz Bühmann