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» Discovering informative content blocks from Web documents
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ECIR
2006
Springer
13 years 9 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
LWA
2008
13 years 9 months ago
Labeling Clusters - Tagging Resources
In order to support the navigation in huge document collections efficiently, tagged hierarchical structures can be used. Often, multiple tags are used to describe resources. For u...
Korinna Bade, Andreas Nürnberger
JCDL
2010
ACM
188views Education» more  JCDL 2010»
14 years 19 days ago
Exposing the hidden web for chemical digital libraries
In recent years, the vast amount of digitally available content has lead to the creation of many topic-centered digital libraries. Also in the domain of chemistry more and more di...
Sascha Tönnies, Benjamin Köhncke, Oliver...
SIGIR
2011
ACM
12 years 10 months ago
Social context summarization
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
CIKM
2010
Springer
13 years 6 months ago
Using Wikipedia categories for compact representations of chemical documents
Today, Web pages are usually accessed using text search engines, whereas documents stored in the deep Web are accessed through domain-specific Web portals. These portals rely on e...
Benjamin Köhncke, Wolf-Tilo Balke