ECIR
2008
Springer
14 years 29 days ago
2008
Springer
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
BIRD
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Searching and mining nuclear magnetic resonance (NMR)spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compoun...
DL
1998
Springer
14 years 3 months ago
1998
Springer
We consider a digital library distributed in a tightly coupled environment. The library is indexed by inverted files and the vector space model is used as ranking strategy. Using ...
INEX
2004
Springer
14 years 4 months ago
2004
Springer
This paper presents an approach for extending the vector space model (VSM) to perform XML retrieval. The model is extended to support important aspects of XML structural and semant...
NLDB
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
IJCNN
2007
IEEE
14 years 5 months ago
2007
IEEE
— In vector space model (VSM), textual documents are represented as vectors in the term space. Therefore, there are two issues in this representation, i.e. (1) what should a term...
HICSS
2008
IEEE
14 years 6 months ago
2008
IEEE
Exact phrase matching is a powerful tool to quickly retrieve results when a sufficient section of the text is accurately provided as the query. If the section of the text is not c...
DEXAW
2008
IEEE
14 years 6 months ago
2008
IEEE
— One of the critical issues in search engines is the size of search indexes: as the number of documents handled by an engine increases, the search must preserve its efficiency,...
DEXAW
2009
IEEE
14 years 6 months ago
2009
IEEE
—This paper compares and illustrates the use of manually and automatically assigned descriptors on German documents extracted from the GIRT Corpus. A second objective is to analy...
ACSC
2009
IEEE
14 years 6 months ago
2009
IEEE
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...