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» Ontologies Improve Text Document Clustering
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CIKM
2008
Springer
13 years 9 months ago
Traditional resources help interpret texts
Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the "bag...
Judith Gelernter, Michael E. Lesk
WWW
2002
ACM
14 years 8 months ago
Using web structure for classifying and describing web pages
The structure of the web is increasingly being used to improve organization, search, and analysis of information on the web. For example, Google uses the text in citing documents ...
Eric J. Glover, Kostas Tsioutsiouliklis, Steve Law...
HIS
2003
13 years 9 months ago
Evolving Better Stoplists for Document Clustering and Web Intelligence
: Text classification, document clustering and similar document analysis tasks are currently the subject of significant global research, since such areas underpin web intelligence,...
Mark P. Sinka, David Corne
CLEF
2003
Springer
14 years 26 days ago
Pruning Texts with NLP and Expanding Queries with an Ontology: TagSearch
: The basic line of our action is first to use natural language processing to prune the texts and the query, and secondly to use an ontology to expand the queries. Last year The sy...
Gil Francopoulo
SIGIR
2008
ACM
13 years 7 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...