Document organization using Kohonen's algorithm

The classification of documents from a bibliographic database is a task that is linked to processes of information retrieval based on partial matching. A method is described of vectorizing reference documents from LISA which permits their topological organization using Kohonen's algorithm. As a...

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Bibliographic Details
Published in:Information processing & management 2002, Vol.38 (1), p.79-89
Main Authors: Guerrero Bote, Vicente P, Moya Anegón, Félix de, Herrero Solana, Victor
Format: Article
Language:English
Subjects:
Algorithms
Automatic classification
Bibliographic Databases
Browsing
Classification
Cluster analysis
Content analysis
Document clustering
Document Handling
Document management
Exact sciences and technology
For
Indexing. Classification. Abstracting. Syntheses
Information and communication sciences
Information and document structure and analysis
Information processing and retrieval
Information Retrieval
Information science. Documentation
Kohonen's algorithm
Library and Information Science Abstracts
Mapping
Neural Networks
Sciences and techniques of general use
Self-organizing maps
Studies
Topology
Vector Methods
Vectorization
Web browser
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Summary:The classification of documents from a bibliographic database is a task that is linked to processes of information retrieval based on partial matching. A method is described of vectorizing reference documents from LISA which permits their topological organization using Kohonen's algorithm. As an example a map is generated of 202 documents from LISA, and an analysis is made of the possibilities of this type of neural network with respect to the development of information retrieval systems based on graphical browsing.
ISSN:0306-4573
1873-5371
DOI:10.1016/S0306-4573(00)00066-2