tracking

Abstract: Modern knowledge discovery activities occur in highly dynamic environments. Specific activities may involve multiple tools, techniques, systems, individuals, and locations. In addition to these complexities, the span of time involved with discovery may vary from short to long, as well as being contiguous or disjoint. This paper presents a framework for tracking the history, or provenance, of the discovery process across applications, systems, and users. The resulting capabilities provide fine-grained provenance information relative to the discovered information. Along with the provenance framework, a prototype system is used to demonstrate the main concepts of the proposed approach.

 knowledge discovery;  tracking;  

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Abstract: Interactive visualizations provide an ideal setting for exploring the use and exploitation of personal histories. Even though visualizations leverage innate human capabilities for recognizing interesting aspects of data, it is unlikely that two users will follow the exact process for discovery. 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. This project presents a model for representing user interactions that articulates with a corresponding set of annotations, or observations that are made during the exploration. This problem is only made more challenging when pervasive computing and corresponding interactions across devices is factored in.

 knowledge discovery;  tracking;  information provenance;  

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