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Information Processing & Management
Volume 41, Issue 2, March 2005, Pages 331-346
 
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doi:10.1016/j.ipm.2003.10.007    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2003 Elsevier Ltd. All rights reserved.

Self-organizing maps of Web spaces based on formal characteristics

Cristina Faba-PérezE-mail The Corresponding Author, a, Vicente P. Guerrero-BoteCorresponding Author Contact Information, E-mail The Corresponding Author, a and Félix de Moya-AnegónE-mail The Corresponding Author, b

a Library and Information Science Faculty, University of Extremadura, Alcazaba de Badajoz (Antiguo Hospital Militar), 06071, Badajoz, Spain b Library and Information Science Faculty, University of Granada, Campus Cartuja, Colegio Máximo, 18071, Granada, Spain

Received 3 April 2003; 
accepted 28 October 2003. 
Available online 20 December 2003.

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Abstract

The unceasing growth of electronic information available on the Web has made it indispensable to develop tools to analyse and evaluate its quality. Given the subjectivity underlying most of the qualitative analytical indicators at the present time, we here propose the use of characteristics or indicators of a formal character. We apply Kohonen’s neural networks and study their topological organization in order to analyse how Web spaces behave with respect to these networks’ formal characteristics. The interpretation of the results brings out the underlying structures and relationships in a closed Web environment.

Author Keywords: Neural networks; Self-organizing maps; Formal indicators of quality

Article Outline

1. Introduction
2. Material and methods
2.1. Formal characteristics and their assigned weights
2.2. Kohonen’s self-organizing map
3. Results and discussion
4. Conclusions
Acknowledgements
References



 
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