Exploration of very large databases by self-organizing maps

@article{Kohonen1997ExplorationOV,
  title={Exploration of very large databases by self-organizing maps},
  author={Teuvo Kohonen},
  journal={Proceedings of International Conference on Neural Networks (ICNN'97)},
  year={1997},
  volume={1},
  pages={PL1-PL6 vol.1}
}
  • T. Kohonen
  • Published 9 June 1997
  • Computer Science
  • Proceedings of International Conference on Neural Networks (ICNN'97)
This paper describes a data organization system and genuine content-addressable memory called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where documents become mapped as points on the upper map, in a geometric order that describes the similarity of their contents. By standard browsing tools one can select from the map subsets of documents that are most similar mutually. It is also possible to submit free-form queries about the wanted documents whereby the WEBSOM… 
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186 Citations
Highly Influential Citations
12
Background Citations
41
Methods Citations
58
Results Citations
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186 Citations

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A novel system which automatically converts text documents into XML by extracting information from previously tagged XML documents by using the Self-Organizing Map learning algorithm to arrange tagged documents on a two-dimensional map such that nearby locations contain similar documents.
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Experiments on document collections of various sizes, text types, and languages show that the WEBSOM method is scalable and generally applicable and preliminary results in a text retrieval experiment indicate that even when the additional value provided by the visualization is disregarded the document maps perform at least comparably with more conventional retrieval methods.
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A novel system for automatically marking up text documents into XML using the techniques of the Self-Organising Map (SOM) algorithm in conjunction with an inductive learning algorithm, C5.0.
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Experiments on document collections of various sizes, text types, and languages show that the WEBSOM method is scalable and generally applicable and preliminary results in a text retrieval experiment indicate that even when the additional value provided by the visualization is disregarded the document maps perform at least comparably with more conventional retrieval methods.
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References

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The main features of this Self-Organizing Maps system, called the WEBSOM, are described, as well as some newer developments of it.
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  • T. Kohonen
  • Computer Science
    Springer Series in Information Sciences
  • 1995
TLDR
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Self-Organizing Maps, Series in Information Sciences
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