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» Catriple: Extracting Triples from Wikipedia Categories
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SIGIR
2008
ACM
13 years 8 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
WWW
2009
ACM
14 years 9 months ago
Is there anything worth finding on the semantic web?
There has recently been an upsurge of interest in the possibilities of combining structured data and ad-hoc information retrieval from traditional hypertext. In this experiment, w...
Harry Halpin
LREC
2008
129views Education» more  LREC 2008»
13 years 10 months ago
Named Entity WordNet
This paper presents the automatic extension of Princeton WordNet with Named Entities (NEs). This new resource is called Named Entity WordNet. Our method maps the noun is-a hierarc...
Antonio Toral, Rafael Muñoz, Monica Monachi...
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 9 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
CIKM
2010
Springer
13 years 7 months ago
Meta-metadata: a metadata semantics language for collection representation applications
Collecting, organizing, and thinking about diverse information resources is the keystone of meaningful digital information experiences, from research to education to leisure. Meta...
Andruid Kerne, Yin Qu, Andrew M. Webb, Sashikanth ...