Self-organizing maps of Web spaces based on formal characteristics

作者:

Highlights:

摘要

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.

论文关键词:Neural networks,Self-organizing maps,Formal indicators of quality

论文评审过程:Received 3 April 2003, Accepted 28 October 2003, Available online 20 December 2003.

论文官网地址:https://doi.org/10.1016/j.ipm.2003.10.007