TY - GEN
T1 - A self-organizing semantic map for information retrieval
AU - Lin, Xia
AU - Soergel, Dagobert
AU - Marchionini, Gary
N1 - Publisher Copyright:
© 1991 ACM. All rights reserved.
PY - 1991/9/1
Y1 - 1991/9/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84982414398
U2 - 10.1145/122860.122887
DO - 10.1145/122860.122887
M3 - Conference contribution
AN - SCOPUS:84982414398
SN - 0897914481
SN - 9780897914482
T3 - Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991
SP - 262
EP - 269
BT - Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991
PB - Association for Computing Machinery, Inc
T2 - 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991
Y2 - 13 October 1991 through 16 October 1991
ER -