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Ivan Bedini, Feroz Farazi, David Leoni, Juan Pane, Ivan Tankoyeu, Stefano Leucci

agencies and companies and published as open data is called open big data. The interest here is
focused on producing a Big Data platform directly integrated with the Open Data portal and able to
provide useful analytics, historical analysis in reasonable time.

6. Applications
Entities generated from open data as well as open big data exploitation resulted to the
development of applications which often appear as innovations to the citizens. This is because they
offer services that are either novel or come up with better results in comparison with the
contemporary ones. Moreover, open data propel innovations that help devising novel applications
and services (Chan, 2013).
In line with this consideration, as shown in Figure 6 and Figure 7, we developed an application
running on top of entities helps finding points of interest including restaurant, pizzeria and bar with
opening hours and bus stop, cable car stop and railway station with timetable and ski lift, ski rental
and ski school with timetable.

Figure 6: Faceted navigation for finding points of interest
Figure 6 sketches faceted navigation. For example, when user is in a ski lift location, selecting a
point of interest category or a subcategory shows the corresponding results on the map. Figure 7
shows semantic navigation. We call it semantic navigation as it exploits semantic relations like
part-of while exploration based search proceeds. To provide an example, when user is in a
museum, it can show, within a radius of, e.g. 500 m or 1 km, all kinds of points of interest also
located in the proximity of the museum itself. Finally, the bottom widget shows attributes and
general information about the selected entity.

CC: Creative Commons License, 2014.