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XML Data Mining by Andrea Tagarelli

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Chapter 17

Geographical Map Annotation with Significant Tags available from Social Networks

Elena Roglia

University of Turin, Italy

Rosa Meo

University of Turin, Italy

Enrico Ponassi

University of Turin, Italy

Abstract

In this chapter we describe how to extract relevant information on a geographical area from information that users share and provide by means of their mobiles or personal digital assistants, thanks to Web 2.0 applications such as OpenStreetMap, Geonames, Flickr, and GoogleMaps. These Web 2.0 applications represent, store, and process information in an XML format. We analyze and use this information to enrich the content of the cartographic map of a given geographical area with up-to-date information. In addition we provide a characterization ...

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