Geo-Semantic Time Series for Tourism Applications

Future semantically-enhanced tourism information systems will be very dynamic. All dynamic data can be organized into time sequences, i.e. sequences of values, each value not only carrying a core message, but also some circumstantial information (when, how, where). Our pro-<br> posed approach is not only to represent these time sequences within a semantic network store. More importantly we demonstrate how to use an appropriate functional language, Formula 3, to com-<br> pute new time sequences based on existing ones. These transformations can be time aggregations, but they can also include the underlying semantic network. Newly derived values then mark the<br> emergence of events which can be reported back into the application code.