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IIS
2003
13 years 9 months ago
Ontology-based Text Document Clustering
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
Steffen Staab, Andreas Hotho
INFORMATICASI
2007
89views more  INFORMATICASI 2007»
13 years 7 months ago
Approximate Representation of Textual Documents in the Concept Space
In this paper we deal with the problem of addition of new documents in collection when documents are represented in lower dimensional space by concept indexing. Concept indexing i...
Jasminka Dobsa, Bojana Dalbelo Basic
FQAS
2006
Springer
84views Database» more  FQAS 2006»
13 years 11 months ago
UNL as a Text Content Representation Language for Information Extraction
This paper describes a new approach for describing contents through the use of interlinguas in order to facilitate the extraction of specific pieces of information. The authors hig...
Jesús Cardeñosa, Carolina Gallardo, ...
IPM
2006
64views more  IPM 2006»
13 years 7 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
CACM
2010
104views more  CACM 2010»
13 years 7 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle