Visual analytics tools integrate provenance recording to externalize analytic processes or user insights. Provenance can be captured on varying levels of detail, and in turn activities can be characterized from different granularities. However, current approaches do not support inferring activities that can only be characterized across multiple levels of provenance. We propose a task abstraction framework that consists of a three stage approach, composed of (1) initializing a provenance task hierarchy, (2) parsing the provenance hierarchy by using an abstraction mapping mechanism, and (3) leveraging the task hierarchy in an analytical tool. Furthermore, we identify implications to accommodate iterative refinement, context, variability, and ...
Sense making is one of the biggest challenges in data analysis faced by both the industry and the re...
Journal ArticleThe problem of systematically capturing and managing provenance for computational tas...
International audienceVisualization techniques are useful tools to explore data by enabling the disc...
Visual analytics tools integrate provenance recording to externalize analytic processes or user insi...
Working Group Report in 'Provenance and Logging for Sense Making' report from Dagstuhl Seminar 18462...
Sensemaking is a process of find meaning from information, and often involves activities such as inf...
International audienceIn the context of analytics applications, the recall of interaction historyoft...
Sensemaking is a process of finding meaning from information that often involves activities such as ...
Analytic provenance research tries to understand a user's reasoning process by examining their inter...
Research on provenance, which focuses on different ways to describe and record the history of change...
During complex analysis tasks, it can be valuable to maintain a history of the data and reasoning in...
Provenance is a term originating from the work of art. It aims to provide a chain of information of ...
The provenance of data provides detailed information about the origin of that data. That includes in...
Sense making is one of the biggest challenges in data analysis faced by both the industry and the re...
Research on provenance, which focuses on different ways to describe and record the history of change...
Sense making is one of the biggest challenges in data analysis faced by both the industry and the re...
Journal ArticleThe problem of systematically capturing and managing provenance for computational tas...
International audienceVisualization techniques are useful tools to explore data by enabling the disc...
Visual analytics tools integrate provenance recording to externalize analytic processes or user insi...
Working Group Report in 'Provenance and Logging for Sense Making' report from Dagstuhl Seminar 18462...
Sensemaking is a process of find meaning from information, and often involves activities such as inf...
International audienceIn the context of analytics applications, the recall of interaction historyoft...
Sensemaking is a process of finding meaning from information that often involves activities such as ...
Analytic provenance research tries to understand a user's reasoning process by examining their inter...
Research on provenance, which focuses on different ways to describe and record the history of change...
During complex analysis tasks, it can be valuable to maintain a history of the data and reasoning in...
Provenance is a term originating from the work of art. It aims to provide a chain of information of ...
The provenance of data provides detailed information about the origin of that data. That includes in...
Sense making is one of the biggest challenges in data analysis faced by both the industry and the re...
Research on provenance, which focuses on different ways to describe and record the history of change...
Sense making is one of the biggest challenges in data analysis faced by both the industry and the re...
Journal ArticleThe problem of systematically capturing and managing provenance for computational tas...
International audienceVisualization techniques are useful tools to explore data by enabling the disc...