| Hierarchical classification as an aid to database and hit-list browsing |
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Conference on Information and Knowledge Management
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Proceedings of the third international conference on Information and knowledge management
table of contents
Gaithersburg, Maryland, United States
Pages: 408 - 414
Year of Publication: 1994
ISBN:0-89791-674-3
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Authors
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J. Royce Rose
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Department of Computer Science, The University of South Carolina, Columbia, South Carolina
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Johann Gasteiger
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Computer-Chemie-Centrum, Universitaet Erlangen-Nuernberg, Naegelsbachstrasse 25, D-91052 Erlangen, Germany
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Downloads (6 Weeks): 7, Downloads (12 Months): 26, Citation Count: 0
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ABSTRACT
A navigational aid for databases that relies on unsupervised hierarchical classification is presented. The approach to hierarchical classification, based on both functional and topological features, supports the creation of deep hierarchies in which succeeding levels represent increasing degrees of abstraction. This allows the user to quickly evaluate the result of a query and to locate interesting items and classes of items by performing a tree traversal rather than a sequential perusal of a hit list or a series of ad hoc query refinements. In very large databases where classical querying methods are increasingly inadequate such as chemical reaction databases, such a browsing method is required in order to manage the flood of information with which the user is confronted.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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rose.abl:91
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