ODT Internal Architecture

The ODT architecture goal is to define a workflow consisting of various functional blocks to manage raw CSV/Shape data so to distill Linked Data and intuitive infographics providing also proper querying tools. Figure below shows the whole process that consists in three main stages. The first stage enables the transformation of raw data CVS files, provided in tabular form, to Linked Data. Then, we store the result of this elaboration in a triplestore to make it available from a SPARQL endpoint. The next stage consists in recombining data to obtain new information by interrogating the triplestore from individuated use cases. This operation uses an interrogation interface for querying local and remote triplestores. Let us stress that this phase is central in the elaboration process because through the definition of queries it is possible to easily combine stored data. The third and last stage allows to visualize recombined data as graphs and as vector graphics on a cartographical map. This is particularly interesting when Linked Data obtained from previous queries are connected to specific areas of the municipality, such as for statistical data for a specific neighborhood on some areas, or when they refer to a specific geographical coordinate. In order to ease this operation of render graphs on map, it is highly useful to have a Linked-Data-enabled plugin for GIS tool, as the one we develop in the context of this project.