vote2json: Tool for Processing Council Voting Data

In order to be able to further process data representing real votes of
representatives, any source data must be transformed into a reference data model.
The aim of this work is to develop a generic tool providing such data
preprocessing. The solution to the problem was to design a meta-model that can
map the source data to the reference model and process the most common source
data formats, i.e. CSV, XML, JSON and HTML files. Some of the missing source data
can be inferred, others can be added to the dataset. The output of the processing
is a JSON file that can be uploaded to a council voting visualization
application, which provides the ability to browse the data in a user-friendly
format. The tool has been tested on selected data from Czech municipalities and
regions, and the resulting datasets are available as open datasets within the
Zastupko project.