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Geographic Summaries from Crowdsourced Data

  • Giuseppe Rizzo
  • Giacomo Falcone
  • Rosa Meo
  • Ruggero G. Pensa
  • Raphaël Troncy
  • Vuk Milicic
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

In this paper, we present a research prototype for creating geographic summaries using the whereabouts of Foursquare users. Exploiting the density of the venue types in a particular region, the system adds a layer over any typical cartography geographic maps service, creating a first glance summary over the venues sampled from the Foursquare knowledge base. Each summary is represented by a convex hull. The shape is automatically computed according to the venue densities enclosed in the area. The summary is then labeled with the most prominent category or categories. The prominence is given by the observed venue category density. The prototype provides two outputs: a light-weight representation structured in GeoJSON, and a semantic description using the Open Annotation Ontology. We evaluate the quality of the summaries using the Sum of Squared Errors (SSE) and the Jaccard distance. The system is available at http://geosummly.eurecom.fr.

Keywords

Jaccard Distance Squared Error Social Platform SPARQL Endpoint Social Media Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by the SMAT-F2 project funded by Regione Piemonte, the European Fund for the Regional Development (F.E.S.R.), and the EIT ICTLabs 3cixty project.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Giuseppe Rizzo
    • 1
    • 2
  • Giacomo Falcone
    • 1
  • Rosa Meo
    • 1
  • Ruggero G. Pensa
    • 1
  • Raphaël Troncy
    • 2
  • Vuk Milicic
    • 2
  1. 1.Università di TorinoTurinItaly
  2. 2.EURECOMSophia AntipolisFrance

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