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» On the Automatic Extraction of Data from the Hidden Web
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CN
1999
148views more  CN 1999»
13 years 8 months ago
Automatic RDF Metadata Generation for Resource Discovery
Automatic metadata generation may provide a solution to the problem of inconsistent, unreliable metadata describing resources on the Web. The Resource Description Framework (RDF [...
Charlotte Jenkins, Mike Jackson, Peter Burden, Jon...
SEMCO
2008
IEEE
14 years 3 months ago
SEMSOC: SEMantic, SOcial and Content-Based Clustering in Multimedia Collaborative Tagging Systems
A huge amount of data and metadata emerges from Web 2.0 applications which have transformed the Web to a mass social interaction and collaboration medium. Collaborative Tagging Sy...
Eirini Giannakidou, Ioannis Kompatsiaris, Athena V...
IJCNLP
2004
Springer
14 years 2 months ago
Collecting Evaluative Expressions for Opinion Extraction
Automatic extraction of human opinions from Web documents has been receiving increasing interest. To automate the process of opinion extraction, having a collection of evaluative ...
Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto, Ke...
SEMWEB
2009
Springer
14 years 1 months ago
Extracting Enterprise Vocabularies Using Linked Open Data
A common vocabulary is vital to smooth business operation, yet codifying and maintaining an enterprise vocabulary is an arduous, manual task. We describe a process to automatically...
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Ed...
KDD
2001
ACM
262views Data Mining» more  KDD 2001»
14 years 9 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...