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» On the Automatic Extraction of Data from the Hidden Web
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WWW
2010
ACM
14 years 4 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
ESWS
2008
Springer
13 years 10 months ago
Instance Based Clustering of Semantic Web Resources
Abstract. The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue t...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
ISMIS
2000
Springer
14 years 16 days ago
Automatic Semantic Header Generator
Indexing file systems is a powerful means of helping users locate documents, software, and other types of data among large repositories. In environments that contain many differen...
Bipin C. Desai, Sami S. Haddad, Abdelbaset Ali
NAR
2006
82views more  NAR 2006»
13 years 9 months ago
PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins
PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually c...
Henry R. Bigelow, Burkhard Rost
WWW
2010
ACM
14 years 4 months ago
CETR: content extraction via tag ratios
We present Content Extraction via Tag Ratios (CETR) – a method to extract content text from diverse webpages by using the HTML document’s tag ratios. We describe how to comput...
Tim Weninger, William H. Hsu, Jiawei Han