Bead: explorations in information visualization

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Bead: explorations in information visualization

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Copenhagen, Denmark

Pages: 330 - 337

Year of Publication: 1992

ISBN:0-89791-523-2

Authors

Matthew Chalmers	Rank Xerox Cambridge EuroPARC, 61 Regent Street, Cambridge, CB2 1AB, United Kingdom
Paul Chitson	School of Information Systems, University of East Anglia, Norwich, Norfolk, NR4 7TJ, United Kingdom and Rank Xerox Cambridge EuroPARC, 61 Regent Street, Cambridge, CB2 1AB, United Kingdom

Sponsors

Royal School of Lib. : Royal School of Lib.
SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 61, Citation Count: 46

Additional Information:

abstract references cited by index terms collaborative colleagues peer to peer

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ABSTRACT

We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling. Many areas of scientific research involve complex multivariate data. One example of this is Information Retrieval. Document comparisons may be done using a large number of variables. Such conditions do not favour the more well-known methods of visualization and graphical analysis, as it is rarely feasible to map each variable onto one aspect of even a three-dimensional, coloured and textured space. Bead is a prototype system for the graphically-based exploration of information. In this system, articles in a bibliography are represented by particles in 3-space. By using physically-based modelling techniques to take advantage of fast methods for the approximation of potential fields, we represent the relationships between articles by their relative spatial positions. Inter-particle forces tend to make similar articles move closer to one another and dissimilar ones move apart. The result is a 3D scene which can be used to visualize patterns in the high-D information space.

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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CITED BY 46

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	Jaime Arguello , Carolyn Rosé, InfoMagnets: making sense of corpus data, Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations, p.253-256, June 04-09, 2006, New York, New York
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	Lucy Terry Nowell , Robert K. France , Deborah Hix , Lenwood S. Heath , Edward A. Fox, Visualizing search results: some alternatives to query-document similarity, Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, p.67-75, August 18-22, 1996, Zurich, Switzerland
	Anselm Spoerri, Infocrystal: a visual tool for information retrieval, Proceedings of the 4th conference on Visualization '93, October 25-29, 1993, San Jose, California
	Chaomei Chen , Mary Czerwinski, From latent semantics to spatial hypertext—an integrated approach, Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems, p.77-86, June 20-24, 1998, Pittsburgh, Pennsylvania, United States
	Young-Min Song, BiblioMapper: A Cluster-Based Information Visualization Technique, Proceedings of the 1998 IEEE Symposium on Information Visualization, p.130-136, October 19-20, 1998, North Carolina
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INDEX TERMS

Primary Classification:
H. Information Systems
H.3 INFORMATION STORAGE AND RETRIEVAL
H.3.3 Information Search and Retrieval
Subjects: Clustering

Additional Classification:
G. Mathematics of Computing
G.1 NUMERICAL ANALYSIS

H. Information Systems
H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects: Interaction styles (e.g., commands, menus, forms, direct manipulation)

I. Computing Methodologies
I.3 COMPUTER GRAPHICS
I.6 SIMULATION AND MODELING

General Terms:
Algorithms, Design, Human Factors

Collaborative Colleagues:

Matthew Chalmers: colleagues

Paul Chitson: colleagues

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