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(screenshots or sketches up here)

The idea is to convert available tourism data (e.g. nights, occupancy, by canton) to semantic web data (RDF).

For the user, a graphical representation of the canton is provided which holds additional information (e.g. population, number of music festivals). This information forms the basis for further navigation. The additional data is gathered via smart linkage of different open data sources.

To create an added value, different information from various data sources must be linked together. Many data sources implement the RDF format to describe their meta data. That's why we're going to use as much RDF data sources as possible.

Some of the main difficulty in the beginning is the transformation of existing (meta) data into the RDF language. We started with an excel file and used Google Refine to transform those raw, messy data.

To visualize that data, we're currently using an svg+javascript approach.

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  • Last modified: 2013/03/22 18:39
  • by fabiancretton