This page (revision-49) was last changed on 11-Aug-2016 10:02 by Albrecht Striffler

This page was created on 22-Feb-2014 17:35 by Albrecht Striffler

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Version Date Modified Size Author Changes ... Change note
49 11-Aug-2016 10:02 7 KB Albrecht Striffler to previous
48 11-Aug-2016 10:01 7 KB Albrecht Striffler to previous | to last
47 11-Aug-2016 10:01 7 KB Albrecht Striffler to previous | to last
46 11-Aug-2016 09:57 7 KB Albrecht Striffler to previous | to last
45 11-Aug-2016 09:55 7 KB Albrecht Striffler to previous | to last
44 01-Apr-2016 16:03 7 KB Albrecht Striffler to previous | to last
43 26-Nov-2015 14:34 7 KB Albrecht Striffler to previous | to last
42 26-Nov-2015 14:34 7 KB Albrecht Striffler to previous | to last
41 26-Nov-2015 14:23 7 KB Albrecht Striffler to previous | to last

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At line 18 changed 4 lines
* __Timeline-Plugin__: Visualize the timeline of a variable of the knowledge base during a problem solving session or while debugging.
* __New TimeDB function for gradient error of estimation__: Calculating a gradient over a history of values always comes with an estimation error. It can tell how suited the calculated gradient is for approximating the given history of values. In a new function we want to produce this estimation error for further consideration in the knowledge base.
* __Tooltip improvements__: Hovering over questions and solutions during usage or debugging of knowledge bases shows the value of the object in the current problem solving session. We want to improve these tooltips and also make them available in flowchart edges and formulas.
* __Flowchart-Diffs__: New DiffProvider allowing to visualize changes in DiaFlux flowcharts.
* __Watch Variables__: For developing d3web knowledge, you can now add watches variables and expressions in a specialized view on the right side, visible independently of your current page.
* __Retractable LeftMenu__: To make more space for the page contents on small displays (like projectors) or in case of large page contents, the LeftMenu can be retracted.
* __DiaFlux Improvements__
** __Zoom__: Flowcharts now come with easy to use zoom tools, allowing to zoom out to get a better overview of large flowcharts and also zoom to fit the current window size.
** __Improved Routing__: Edges come with improved routing and a more intelligent placement of labels. Edges are highlighted on mouse-over.
** __New Tools: The flowchart editor comes with many new tools to intelligently select, align, clean up, pack and refactor the nodes and edges of a flowchart.
At line 23 removed 2 lines
* __KnowWE-TimeMachine__: Browse and restore previous states of the wiki (the whole wiki, not just single articles).
* __KnowWE-Updater__: GUI-App to start and update KnowWE installations.
At line 28 changed one line
* __Overhaul of Search__: There currently are multiple locations to search content of KnowWE (QuickNavigation, ObjectInfoPage, TermBrowser). We plan to unify and improve all of them into an all new search replacing the rather unhelpful default Quick Navigation of JSPWiki.
* __Tooltip improvements__: Hovering over questions and solutions during usage or debugging of knowledge bases shows the value of the object in the current problem solving session. We want to improve these tooltips and also make them available in flowchart edges and formulas.
At line 38 added 6 lines
* __Overhaul of Search__: There currently are multiple locations to search content of KnowWE (QuickNavigation, ObjectInfoPage, TermBrowser). We plan to unify and improve all of them into an all new search replacing the rather unhelpful default Quick Navigation of JSPWiki.
* __KnowWE-TimeMachine__: Browse and restore previous states of the wiki (the whole wiki, not just single articles).
* __Timeline-Plugin__: Visualize the timeline of a variable of the knowledge base during a problem solving session or while debugging.
* __Flowchart-Diffs__: New DiffProvider allowing to visualize changes in DiaFlux flowcharts.
* __KnowWE-Updater__: GUI-App to start and update KnowWE installations.
* __New TimeDB function for gradient error of estimation__: Calculating a gradient over a history of values always comes with an estimation error. It can tell how suited the calculated gradient is for approximating the given history of values. In a new function we want to produce this estimation error for further consideration in the knowledge base.
This page (revision-49) was last changed on 11-Aug-2016 10:02 by Albrecht Striffler Top