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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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Conceptual Model of Knowledge-Assisted Visual Analytics.
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,
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
in terms of processes: analysis A, visualization V, externalization
processes: analysis A, visualization V, externalization X, perception/cognition P, and exploration E;
X, perception/cognition P, and exploration E; containers: explicit
containers: explicit knowledge Ke, data D, specification S, and tacit knowledge Kt; and a non-persistent artifact: image I.
knowledge Ke, data D, specification S, and tacit knowledge Kt;
 
and a non-persistent artifact: image I.
== Copyright status: ==
== Copyright status: ==


== Source: ==
== Source: ==
[Federico et al., 2017]
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.

Latest revision as of 11:55, 2 August 2017

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.

Copyright status:

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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