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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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Published in: | Information processing & management 2005-03, Vol.41 (2), p.331-346 |
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container_end_page | 346 |
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container_title | Information processing & management |
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creator | Faba-Pérez, Cristina Guerrero-Bote, Vicente P. Moya-Anegón, Félix de |
description | 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. |
doi_str_mv | 10.1016/j.ipm.2003.10.007 |
format | article |
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source | Library & Information Science Abstracts (LISA); ScienceDirect Freedom Collection 2022-2024 |
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 |
title | Self-organizing maps of Web spaces based on formal characteristics |
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