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What Things are in this data? This is what is happening before the question "how are the things connected". Like an overview of things (Classes)
Why: If I am lucky there are Classes like Person etc. This helps me a lot to understand what is going on. |
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Properties What properties do we have. And what are the combinations do we have. Like domain and range in owl or what appears in the subject or object position.
Why: it helps me to understand the properties and how they are used. |
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I would like to be able to declare multiple predefined Viewpoints for the datasets that I create, in order to allow the user to select one of the viewpoints for display. The Viewpoint declares which shapes/classes are rendered. If I don't have shapes declared explicitly and the shapes get derived on the fly, then I would like to be able include the relevant Pseudo-Turtle:
Presenting the Viewpoints in a dropdown list similar to the dropdown list of the named-graphs would make sense. |
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I would like to be able to declare which classes are stereotypes in order to either show them as stereotype markers on a class or alternatively hide them in the rendering. For example I would like to declare Example data sample https://permits.zazukoians.org/professions/220:
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Lets collect "high-level" requirements on a Data Exploration here.
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