Abstract
Dynamic queries constitute a very powerful mechanism for information visualization; some universe of data is visualized, and this visualization is modified on-the-fly as users modify the range of interest within the domains of the various attributes of the visualized information. In this paper, we analyze dynamic queries and offer some natural generalizations of the original concept by establishing a connection to SQL. We also discuss some implementation ideas that should make these generalizations efficient as well.
- {1} C. Ahlberg and B. Shneiderman. Visual information seeking: Tight coupling of dynamic query filters with starfield displays. In Proc. CHI94 Conference on Human Factors in Computing Systems, pages 313-317, Boston, MA, April 1994. Google ScholarDigital Library
- {2} Y. Ioannidis. A time bound on the materialization of some recursively defined views. Algorithmica, 1(4):361-385, October 1986.Google ScholarCross Ref
- {3} IVEE Development AB, Goteborg, Sweden. http://www.ivee.com, June 1996.Google Scholar
- {4} V. Jain and B. Shneiderman. Data structures for dynamic queries: An analytical and experimental evaluation. In Proc. 2nd International Workshop on Advanced Visual Interfaces, Bari, Italy, May 1994. Google ScholarDigital Library
- {5} J. Nievergelt, H. Hinterberger, and K. C. Sevcik. The grid file: An adaptable, symmetric multikey file structure. ACM Transactions on Database Systems, 9(1):38-71, March 1984. Google ScholarDigital Library
- {6} B. Shneiderman. Dynamic queries for visual information seeking. IEEE Software, 11(6):70-77, November 1994. Google ScholarDigital Library
- {7} E. Tanin, R. Beigel, and B. Shneiderman. Incremental data structures and algorithms for dynamic query interfaces. ACM-SIGMOD Record, 24(4), December 1996. Google ScholarDigital Library
Index Terms
- Dynamic information visualization
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