Abstrakt
There are lots of Linked Open Data (LOD) datasets published today. However, the possibilities of their consumption are very limited and certainly not suitable for lay users.
A lay user is often insufficiently shielded from the RDF format, e.g. when facing resource IRIs. Also, he needs to be a domain expert to understand the published datasets as they are published in a form which provides as much information as possible.
Typically, a middle man is needed to interpret the data for the lay users and to create an understandable view. However, due to the lack of LOD enabled tools, the data gets converted to a lesser data format such as CSV, XML or JSON and therefore looses its semantics.
In this paper, we identify and formalize the current problems related to publishing Linked Data based visualizations and we propose a method of configuring views for lay users. Moreover, we present a tool, LinkedPipes Visualization Assistant (LPVA), which experimentally implements the proposed method.
We also evaluate the implementation and present two experiments based on real world data.