By Topic

A self-organizing map for concept classification in information retrieval

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
G. Desjardins ; Dept. of Comput. Sci., Quebec Univ., Montreal, Que., Canada ; R. Godin ; R. Proulx

Information retrieval is concerned with the classification processes and the selective recovery of information. Improvements in this field are mainly sought at the core level of the engine's classification capabilities and by query enhancement processes. The later one became the prime interest of researchers since less progress has been made on the former one. Both make substantial use of manual interventions, which results in a less automated overall process. In this paper, we propose a new model based on the self-organizing map paradigm to discover the concepts embedded in a collection of documents. The terms of the corpus are directly classified into concepts, without manual category labelling. Then the concepts serve as a new knowledge representation for information retrieval. This model has been tested on a TREC-6 subcollection (text retrieval conference). As expected, the retrieval using the concepts representation does not outperform the corresponding full term retrieval. It is a step toward terms classification using a self-organizing map and contributes to fully automate the discovery of concepts in text collections.

Published in:

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.  (Volume:3 )

Date of Conference:

31 July-4 Aug. 2005