Facetted Browsing of Extracted Fusion Tables Data for Digital Cities

Digital cities of the future should provide digital information about points-of-interest (POIs) for virtually any user context. Starting from several Google Fusion tables about city POIs, we extracted and transferred useful POI data to RDF to be accessible by SPARQL requests. In this initial application context, we concentrated on museum and restaurant resources as the result of a precision-oriented information extraction part. With the current application system we are able to retrieve, filter, and order digital cities POI data in multiple ways. With the help of facets, users can do more than just browsing the museums and restaurants. They can filter the relevant objects according to available metadata criteria such as city, country, and POI categories. Different views allow us to visualize the objects of interest as tables, thumbnails, or POIs on an interactive map. In addition, any complementary information on the cities where museums and restaurants are located are retrieved from DBpedia and displayed at query time.