Technometrics
Dynamic queries for information exploration: an implementation and evaluation
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Creating charts by demonstration
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive graphic design using automatic presentation knowledge
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IDEA: interactive data exploration and analysis
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Externalising abstract mathematical models
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Extending end-user programming in a visual shell with programming by demonstration and graphical language techniques
GUIDE: Graphical User Interface for Database Exploration
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
IVEE: an Information Visualization and Exploration Environment
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Visage: a user interface environment for exploring information
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
Toward an information visualization workspace: combining multiple means of expression
Human-Computer Interaction
MWMD: a module-based workbench for multimedia database programmers and users
Information organization and databases
Fusion: interactive coordination of diverse data, visualizations, and mining algorithms
CHI '03 Extended Abstracts on Human Factors in Computing Systems
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Visualization Schemas for Flexible Information Visualization
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
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Interactive visualization techniques allow data exploration to be a continuous process, rather than a discrete sequence of queries and results as in traditional database systems. However limitations in expressive power of current visualization systems force users to go outside the system and form a new dataset in order to perform certain operations, such as those involving the relationship among multiple objects. Further, there is no support for integrating data from the new dataset into previous visualizations, so users must recreate them. Visage's information centric paradigm provides an architectural hook for linking data across multiple queries, removing this overhead. This paper describes the addition to Visage of a visual query language, called VQE, which allows users to express more complicated queries than in previous interactive visualization systems. Visualizations can be created from queries and vice versa. When either is updated, the other changes to maintain consistency.