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T. Heer (1982)
The application of the concept of homeosemy to natural language information retrievalInf. Process. Manag., 18
Dauid Percy (1994)
Cluster Analysis (3rd Edition)Journal of the Operational Research Society, 45
H. Ritter, T. Martinetz, K. Schulten (1992)
Neural computation and self-organizing maps - an introduction
B. S. Everitt (1993)
Cluster Analysis
A. Lelu (1991)
From data analysis to neural networks: new prospects for efficient browsing through databasesJournal of Information Science, 17
C. J. Rijsbergen (1979)
Information Retrieval
P. Willett (1988)
Recent trends in hierarchic document clustering: A critical reviewInf. Process. Manag., 24
T. Kohonen (1990)
The self-organizing mapNeurocomputing, 21
F. Can, E. Ozkarahan (1984)
Two partitioning type clustering algorithmsJ. Am. Soc. Inf. Sci., 35
(1979)
Information Retrieval. Butterworths: London
G. Salton (1989)
Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer
Bernd Fritzke (1994)
Growing cell structures--A self-organizing network for unsupervised and supervised learningNeural Networks, 7
M. Hemmje, C. Kunkel, Alexander Willett (1994)
LyberWorld—a visualization user interface supporting fulltext retrieval
A. Griffiths, Ho Luckhurst, P. Willett (1997)
Using interdocument similarity information in document retrieval systemsJ. Am. Soc. Inf. Sci., 37
R. Fowler, W. Lawrence-Fowler, B. Wilson (1991)
Integrating query thesaurus, and documents through a common visual representation
Justine Blackmore, R. Miikkulainen (1993)
Incremental grid growing: encoding high-dimensional structure into a two-dimensional feature mapIEEE International Conference on Neural Networks
R. Korfhage, Assadaporn Nuchprayoon, B. Parmanto (1995)
Structured display and browsing of documentary informationIntegrated Computer-aided Engineering, 2
(1995)
Information Retrieval by Self-Organizing Maps
(1993)
Neural Networks in Natural Language Processing and Information Retrieval, Ph.D
J. Hertz, A. Krogh, R. Palmer (1994)
Introduction to the theory of neural computation, 1
(1988)
Information Retrieval using a Singular Value Decomposition
T. Doszkocs, J. Reggia, Xiaoxin Lin (1990)
Connectionist models and information retrieval, 25
J. Scholtes (1995)
Artificial Neural Networks for Information Retrieval in a Libraries Context
L. Doyle (1961)
Semantic Road Maps for Literature SearchersJ. ACM, 8
Xia Lin (1995)
Searching and Browsing on Map Displays., 32
M. Chalmers (1997)
Design Perspectives in Visualising Complex Information
K. Macleod, W. Robertson (1991)
A neural algorithm for document clusteringInf. Process. Manag., 27
Xia Lin, D. Soergel, G. Marchionini (1991)
A self-organizing semantic map for information retrieval
M. Chalmers, Paul Chitson (1992)
Bead: explorations in information visualization
Neural networks have recently been proposed for the construction of navigation interfaces for Information Retrieval systems. In this paper, we give an overview of some current research in this area. Most of the cited approaches use (variants) of the well-known Kohonen network. The Kohonen network implements a topology-preserving dimensionality-reducing mapping, which can be applied for information visualization. We identify a number of problems in the application of Kohonen networks for Information Retrieval, most notably scalability, reliability and retrieval effectiveness. To solve these problems we propose to use the Growing Cell Structures network, a variant of the Kohonen network which shows a more flexible adaptation to the domain structure.
Artificial Intelligence Review – Springer Journals
Published: May 31, 2004
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