Self-organizing maps of Web spaces based on formal characteristics

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 indic...

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Bibliographic Details
Published in:Information processing & management 2005-03, Vol.41 (2), p.331-346
Main Authors: Faba-Pérez, Cristina, Guerrero-Bote, Vicente P., Moya-Anegón, Félix de
Format: Article
Language:English
Subjects:
Content analysis
Exact sciences and technology
Formal indicators of quality
Information and communication sciences
Information and document structure and analysis
Information processing and retrieval
Information science. Documentation
Neural networks
Online information retrieval
Sciences and techniques of general use
Searching
Self organizing maps
Studies
Web portals
World Wide Web
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Summary: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.
ISSN:0306-4573
1873-5371
DOI:10.1016/j.ipm.2003.10.007