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Integrating query thesaurus, and documents through a common visual representation
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Chicago, Illinois, United States
Pages: 142 - 151  
Year of Publication: 1991
ISBN:0-89791-448-1
Authors
Richard H. Fowler  University of Texas, Pan American, Edinburg, TX
Wendy A. L. Fowler
Bradley A. Wilson  University of Texas, Pan American, Edinburg, TX
Sponsors
AICA : Assoc Italianai de Calcolo Automatico
BCS-IRSG : BCS/Information Retrieval Specialist Group
German Comp Soc : GI - Gesellshaft for Informatik
SIGIR: ACM Special Interest Group on Information Retrieval
INRIA : Institut Natl de Recherche en Info et en Automatique
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 32,   Citation Count: 11
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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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Chang, S. K. (1989). Visual reasoning for information retrieval from very large databases. IEEE !Vorkshop oft Visz tal Lo~gz ~ges, 1-6.
 
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Crouch, D. B, & Korfhage, tL R. (1990). The use of visual representations in information retrieval applications. In Ichikawa, T, Jungert, E, & Korfhage, R. R. (Eds.), Via~ lan~cages attd applications (pp. 305-326). NY: Pergamon Pres~
 
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Draper, S. W. (1986). Display managers as the basis for user-machine communication. In Norman, D. A, & Draper, S. W. (Eds.). User centered system design (pp. 339-352). Hillsdale, NJ: Erlbaum.
 
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Eades, P, & Xuemin, L. (1989). How to draw a directed graph. IEEE Workshop on Visual Lozguages, 13-17.
 
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Fairchild, K. M., Poltrock, S. E, & Furnas, G. W. (1988). SemNet: Three-dimensional graphic representations of large knowledge bases. In R. Guindon (Ed.), Cognitive Science and its applications to hzzmancomputer interaction (pp. 201-233). Hillsdale, NJ: Erlbaum.
 
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Fidel, R. (1986). Towards expert systems for the selection of search keys. Journal of tlw American Society for InfornuTtion Science. 37(1), 37-44.
 
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Hutchinson, J. W. (1989). NETSCAL: A network scaling algorithm for nonsymmetric proximity data. Pskvhometrika, 54, 25-51.
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Norman, D. A, & Draper, S. W. (Eds.). (1986). User centered system design. Hillsdale, NJ: Erlbaum.
 
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Palmquist, R. A, & Eisenburg, M~ (1984). Testing a text analysis metric using magnitude estimation. Proceedings of the American Society for Information Science Meeting, 231-236.
 
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Peat, H. J, & Willett, P. (1991). The limitations of term co-occurrence data for query expansion in document retrieval systems. Joztrnal of the American Society for Information Science, 42(5), 378-383.
 
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Schvaneveldt, R. W, Dearholt, D. W, & Durso, F. T. (1989). Network structures in proximity data. }n G. H. Bower (Ed.), The ps~'chology of learning and motivation." Advances bz research cmd theory (Vol. 24, pp. 249-284). New York: Academic Press.
 
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Shneidcrman, B. (1983). Direct manipulation: A step beyond programming language~ IEEE Compttter, 16(8), 57-69.
 
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Sparck Jones, K. (1972). A statistical interpretation of term specificity and its application in retrieval. Jottrnal of Docztmentation, 28(1), 11-20.
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CITED BY  11

Collaborative Colleagues:
Richard H. Fowler: colleagues
Wendy A. L. Fowler: colleagues
Bradley A. Wilson: colleagues