Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
A self-organizing semantic map for information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Neural navigation interfaces for information retrieval: are they more than an appealing idea?
Artificial Intelligence Review
Exploration of text collections with hierarchical feature maps
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Information forage through adaptive visualization
Proceedings of the third ACM conference on Digital libraries
Self-Organizing Maps
Very Large Two-Level SOM for the Browsing of Newsgroups
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
CONCAT - Connotation Analysis of Thesauri Based on the Interpretation of Context Meaning
DEXA '94 Proceedings of the 5th International Conference on Database and Expert Systems Applications
The SOMLib Digital Library System
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
Industry: text mining with self-organizing maps
Handbook of data mining and knowledge discovery
Supporting the notion of seamlessness in personal content management
IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
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Document archives may be regarded as a perfect application arena for unsupervised neural networks because many operations computers have to perform on text documents are classification tasks based on noisy patterns. The "noise" originates from the known inaccuracy of mapping free-form natural language to an indexing vocabulary representing the contents of the documents. In this paper we describe an approach towards management of distributed document archives based on a system of independent self-organizing maps each of which represents just a portion of the complete document archive. These individual maps may be integrated in a hierarchical fashion. This leads to enormous flexibility for the user who may define her own personal library that reflects her particular interests.