LinkDaViz:A Visualization Approach Employing Automatic Binding of Linked Data to Visualizations
As the Web of Data is growing steadily, the demand for user-friendly means for exploring, analyzing and visualizing Linked Data is also increasing. The key challenge for visualizing Linked Data consists in providing a clear overview of the data and supporting non-technical users in ﬁnding and configuring suitable visualizations for a speciﬁed subset of the data.
In order to accomplish this, we are developing a largely automatic visualization workﬂow based on the state-of-the-art linked data approaches, which guides users through the process of creating visualizations by automatically categorizing and binding data to a visualization’s parameters.
The LinkDAViz visualization workflow starts with the selection and exploration of a RDF dataset. After specifying the part of data to be visualized a ranked list of recommended visualizations is computed and presented to the user. Finaly, when one of the recommendations is selected, the resulting visualization is displayed, ready for customization.