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H. Hobel, P. Fogliaroni:
"Extracting Semantics of Places from User Generated Content";
in: "International Conference on Geographic Information Science (AGILE 2016 - Short Paper)", T. Sarjakoski, M. Santos, T. Sarjakoski (ed.); issued by: AGILE; Springer Verlag, 2016, ISBN: 978-3-319-33782-1.

Next generation Geographic Information Systems should support place-based searches. The notion of place is a vague concept that strictly relates to human conceptualization of space. We regard places as cognitive regions affording activity opportunities and present a computational workflow to populate the model with information from User Generated Content available on the Web. An algorithmic realization is provided that relies on the Resource Description Framework along with a real example derived by an implementation of the workflow that relies on OpenStreetMap and TripAdvisor data.

Next generation Geographic Information Systems should support place-based searches. The notion of place is a vague concept that strictly relates to human conceptualization of space. We regard places as cognitive regions affording activity opportunities and present a computational workflow to populate the model with information from User Generated Content available on the Web. An algorithmic realization is provided that relies on the Resource Description Framework along with a real example derived by an implementation of the workflow that relies on OpenStreetMap and TripAdvisor data.

Spatial Search, Natural Language Processing, Model of Place, Semantic Web