Information provenance and the knowledge rediscovery problem
- 13 November 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Visualizations leverage innate human capabilities for recognizing interesting aspects of data. Even if users might agree on what is interesting about a visualization, the steps that they use in the knowledge discovery process may be significantly different. This results in an inability to effectively recreate the exact conditions of the discovery process, which we call the knowledge rediscovery problem. Because we cannot expect a user to fully document each of their interactions, there is a need for visualization systems to maintain user trace data in a way that enhances a user's ability to communicate what they found to be interesting, as well as how they found it. We present a model for representing user interactions that articulates with a corresponding set of annotations, or observations that are made during the exploration. Such ability is critical to addressing the knowledge rediscovery problem, and is a fundamental component for systems that must provide information provenance.Keywords
This publication has 19 references indexed in Scilit:
- A model for the visualization exploration processPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Annotating scientific images: a concept-based approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Re-integrating the research recordComputing in Science & Engineering, 2003
- Multimodal event parsing for intelligent user interfacesPublished by Association for Computing Machinery (ACM) ,2003
- The eyes have it: a task by data type taxonomy for information visualizationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An architecture for retaining and analyzing visual explorations of databasesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- From personal to shared annotationsPublished by Association for Computing Machinery (ACM) ,2002
- Plan-based interfacesPublished by Association for Computing Machinery (ACM) ,2002
- Snap-together visualizationPublished by Association for Computing Machinery (ACM) ,2000
- The Dataflow Visualization Pipeline as a Problem Solving EnvironmentPublished by Springer Nature ,1996