(screenshots or sketches up here)

The idea is to convert available tourism statistical data (e.g. nights, occupancy, by canton) to semantic web data (RDF). This project will thus fullfuill the maximum data quality according to Open Data 5 stars. Those statistical data will thus be linked to other Linked Open Data sets(as DBPedia, geoNames), and the information from the different sources can thus be queried at will.

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 and its RDF extension to transform those raw, messy data.

We based the RDF schema on the RDF Data Cube and designed a few more properties to represent the dimensions about time/location/nightstay.

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

• http://www.bfs.admin.ch/bfs/portal/fr/index/themen/10/03/blank/key/01/01.html
• http://www.bfs.admin.ch/bfs/portal/fr/index/themen/10/03/blank/data/01.html
• http://dbpedia.org
• https://github.com/interactivethings/swiss-maps

• html/css/js
• d3.js
• Style for Markup: Twitter Bootstrap (http://twitter.github.com/bootstrap)
• Programming language: PHP (http://php.net)
• Data model scheme: RDF (https://en.wikipedia.org/wiki/Resource_Description_Framework)

• fabiancretton
• azappella
• Sabrina Huth
• Sebastian Veit

• Relevant documentation …
• Blog or forum posts …