File:KnAVA Model.png

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Summary

Conceptual Model of Knowledge-Assisted Visual Analytics.

The model is divided into two spaces (machine and human) and describes knowledge generation, conversion, and exploitation within the visual analytics discourse, in terms of processes: analysis A, visualization V, externalization X, perception/cognition P, and exploration E; containers: explicit knowledge Ke, data D, specification S, and tacit knowledge Kt; and a non-persistent artifact: image I.

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Source:

Federico, P.; Wagner, M.; Rind, A.; Amor-Amorós, A.; Miksch, S. and Aigner, W., The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics, Proc. 2017 IEEE Conference on Visual Analytics Science and Technology (VAST), IEEE, In Press.

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current11:54, 2 August 2017Thumbnail for version as of 11:54, 2 August 20171,209 × 702 (42 KB)Arind (talk | contribs)Conceptual Model of Knowledge-Assisted Visual Analytics. The model is divided into two spaces (machine and human) and describes knowledge generation, conversion, and exploitation within the visual analytics discourse, in terms of processes: analysis A...

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