A Self-Organizing Semantic Map for Information Retrieval.
Xia Lin, Dagobert Soergel, Gary Marchionini:
A Self-Organizing Semantic Map for Information Retrieval.
SIGIR 1991: 262-269@inproceedings{DBLP:conf/sigir/LinSM91,
author = {Xia Lin and
Dagobert Soergel and
Gary Marchionini},
editor = {Abraham Bookstein and
Yves Chiaramella and
Gerard Salton and
Vijay V. Raghavan},
title = {A Self-Organizing Semantic Map for Information Retrieval},
booktitle = {Proceedings of the 14th Annual International ACM SIGIR Conference
on Research and Development in Information Retrieval. Chicago,
Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR
Forum)},
publisher = {ACM},
year = {1991},
isbn = {0-89791-448-1},
pages = {262-269},
ee = {db/conf/sigir/LinSM91.html},
crossref = {DBLP:conf/sigir/91},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
A neural network's unsupervised learning algorithm, Kohonen's feature map, is applied to constructing a self-organizing semantic map for information retrieval.
The semantic map visualizes semantic relationships between input documents, and has properties of economic representation of data with their interrelationships.
The potentials of the semantic map include using the map as a retrieval interface for an online bibliographic system.
A prototype system that demonstrates this potential is described.
Copyright © 1991 by the ACM,
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BibTeX
Printed Edition
Abraham Bookstein, Yves Chiaramella, Gerard Salton, Vijay V. Raghavan (Eds.):
Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR Forum).
ACM 1991, ISBN 0-89791-448-1
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