https://infovis-wiki.net/w/index.php?action=history&feed=atom&title=File%3AKnAVA_Model.png 2026-05-31T13:28:39Z Revision history for this page on the wiki MediaWiki 1.45.3 https://infovis-wiki.net/w/index.php?title=File:KnAVA_Model.png&diff=159718&oldid=prev 2017-08-02T10:55:53Z

<p>full source</p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 10:55, 2 August 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2">Line 2:</td> <td colspan="2" class="diff-lineno">Line 2:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Conceptual Model of Knowledge-Assisted Visual Analytics.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Conceptual Model of Knowledge-Assisted Visual Analytics.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The model is divided into two spaces (machine and human) and describes knowledge generation, conversion, and exploitation within the visual analytics discourse,</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>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</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>in terms of processes: analysis A, visualization V, externalization</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>processes: analysis A, visualization V, externalization X, perception/cognition P, and exploration E;</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>X, perception/cognition P, and exploration E; containers: explicit</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>containers: explicit knowledge Ke, data D, specification S, and tacit knowledge Kt; and a non-persistent artifact: image I.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>knowledge Ke, data D, specification S, and tacit knowledge Kt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>and a non-persistent artifact: image I.</div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Copyright status: ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Copyright status: ==</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Source: ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Source: ==</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[</del>Federico <del style="font-weight: bold; text-decoration: none;">et al</del>., 2017<del style="font-weight: bold; text-decoration: none;">]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Federico<ins style="font-weight: bold; text-decoration: none;">, P.; Wagner, M.; Rind, A.; Amor-Amorós, A.; Miksch, S. and Aigner, W</ins>., <ins style="font-weight: bold; text-decoration: none;">The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics, Proc. </ins>2017 <ins style="font-weight: bold; text-decoration: none;">IEEE Conference on Visual Analytics Science and Technology (VAST), IEEE, In Press.</ins></div></td></tr> <!-- diff cache key infovis:diff:1.41:old-159717:rev-159718:php=table --> </table>

Arind https://infovis-wiki.net/w/index.php?title=File:KnAVA_Model.png&diff=159717&oldid=prev 2017-08-02T10:54:07Z

<p>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...</p> <p><b>New page</b></p><div>== Summary ==<br /> Conceptual Model of Knowledge-Assisted Visual Analytics.<br /> <br /> The model is divided into two spaces (machine and human) and describes knowledge generation, conversion, and exploitation within the visual analytics discourse,<br /> in terms of processes: analysis A, visualization V, externalization<br /> X, perception/cognition P, and exploration E; containers: explicit<br /> knowledge Ke, data D, specification S, and tacit knowledge Kt;<br /> and a non-persistent artifact: image I.<br /> == Copyright status: ==<br /> <br /> == Source: ==<br /> [Federico et al., 2017]</div>

Arind