The visual display of quantitative information
The visual display of quantitative information
ACM Transactions on Database Systems (TODS)
An Interactive Query Language for External Data Bases
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Context-sensitive, graphic presentation of information
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Spatial management of information
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Visual programming—toward realization of user-friendly programming environments
ACM '87 Proceedings of the 1987 Fall Joint Computer Conference on Exploring technology: today and tomorrow
Visualizing and querying software structures
ICSE '92 Proceedings of the 14th international conference on Software engineering
Visualizing and querying software structures
CASCON '91 Proceedings of the 1991 conference of the Centre for Advanced Studies on Collaborative research
CASCON '92 Proceedings of the 1992 conference of the Centre for Advanced Studies on Collaborative research - Volume 1
Challenges in graph-based relational data visualization
CASCON '92 Proceedings of the 1992 conference of the Centre for Advanced Studies on Collaborative research - Volume 1
Visualizing and querying software structures
CASCON First Decade High Impact Papers
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The knowledge stored in the information networks of the near future will not resemble that in today's conventional database systems. Instead, systems will look more like electronic libraries, with millions of items in many different media and with widely varying formats and levels of detail. Using foreseeable searching mechanisms, the results of queries will often be very coarse, containing a large fraction of all the items in storage. To make up for this coarseness, users must be able to browse the database, discarding unneeded items rapidly—but the sheer size of the result sets will make textual presentation useless. As an alternative, we have investigated ways to arrange the data into information spaces that can be presented graphically. Users browse the space simply by moving their viewpoints within it, selecting interesting features of the “information landscape” for closer examination.