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Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems

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A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years

Part of the book series: Studies in Big Data ((SBD,volume 31))

Abstract

This chapter discusses a general framework for the analysis of trajectories of moving objects, designed around a Trajectory Data Warehouse (TDW). We argue that data warehouse technologies, combined with geographic visual analytics tools, can play an important role in granting very fast, accurate and understandable analysis of mobility data. We describe how in the last decade the TDW models have changed in order to provide the user with a more suitable model of the reality of interest and we also cope with the challenge of semantic trajectories. As a use case we illustrate how the framework can be instantiated for realizing a recommender system for tourists.

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Notes

  1. 1.

    E.g., the beautiful marble statues in the Loggia dei Lanzi in Florence are only a few meters far one from each other but have a distinct dedicated page in Wikipedia.

  2. 2.

    http://www.flickr.com/services/api/flickr.photos.search.html.

References

  1. G. Andrienko, N. Andrienko, S. Wrobel, Visual analytics tools for analysis of movement data. ACM SIGKDD Explor. 9(2), 28–46 (2007)

    Article  MATH  Google Scholar 

  2. N. Andrienko, G. Andrienko, Visual analytics of movement: an overview of methods, tools and procedures. Inf. Vis. 12(1), 3–24 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  3. V. Bogorny, C. Renso, A.R. de Aquino, F. de Lucca Siqueira, L.O. Alvares, CONSTAnT - a conceptual data model for semantic trajectories of moving objects. Trans. GIS 18(1), 66–88 (2014)

    Article  Google Scholar 

  4. S. Brakatsoulas, D. Pfoser, R. Salas, C. Wenk, On map-matching vehicle tracking data, in Proceedings of VLDB (2005), pp. 853–864

    Google Scholar 

  5. R. Cohen, L. Katzir, The generalized maximum coverage problem. Inf. Process. Lett. 108(1), 15–22 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  6. L. Leonardi, S. Orlando, A. Raffaetà, A. Roncato, C. Silvestri, G.L. Andrienko, N.V. Andrienko, A general framework for trajectory data warehousing and visual OLAP. GeoInformatica 18(2), 273–312 (2014)

    Article  Google Scholar 

  7. G. Marketos, E. Frentzos, I. Ntoutsi, N. Pelekis, A. Raffaetà, Y. Theodoridis, Building real world trajectory warehouses, in Proceedings of MobiDE (2008), pp. 8–15

    Google Scholar 

  8. S. Orlando, R. Orsini, A. Raffaetà, A. Roncato, C. Silvestri, Trajectory data warehouses: design and implementation issues. J. Comput. Sci. Eng. 1(2), 240–261 (2007)

    Article  Google Scholar 

  9. D. Papadias, Y. Tao, P. Kalnis, J. Zhang, Indexing spatio-temporal data warehouses, in Proceedings of ICDE (2002), pp. 166–175

    Google Scholar 

  10. C. Parent, S. Spaccapietra, C. Renso, G. Andrienko, N. Andrienko, V. Bogorny, M.L. Damiani, A. Gkoulalas-Divanis, J.A. Macedo, N. Pelekis, Y. Theodoridis, Z. Yan, Semantic trajectories modeling and analysis. ACM Comput. Surv. 45(4) (2013)

    Google Scholar 

  11. A. Raffaetà, L. Leonardi, G. Marketos, G. Andrienko, N. Andrienko, E. Frentzos, N. Giatrakos, S. Orlando, N. Pelekis, A. Roncato, C. Silvestri, Visual mobility analysis using T-warehouse. Int. J. Data Warehous. Min. 7(1), 1–23 (2011)

    Article  Google Scholar 

  12. I. Ramalho Brilhante, J.A.F. de Macêdo, F.M. Nardini, R. Perego, C. Renso, Where shall we go today? planning touristic tours with TripBuilder, in Proceedings of CIKM, eds. by Q. He, A. Iyengar, W. Nejdl, J. Pei, R. Rastogi (ACM, 2013), pp. 757–762

    Google Scholar 

  13. I. Ramalho Brilhante, J.A.F. de Macêdo, F.M. Nardini, R. Perego, C. Renso, TripBuilder: a tool for recommending sightseeing tours, in Proceedings of ECIR (2014), pp. 771–774

    Google Scholar 

  14. I. Ramalho Brilhante, J.A.F. de Macêdo, F.M. Nardini, R. Peregob, C. Renso, On planning sightseeing tours with TripBuilder. Inf. Process. Manag. 51(2), 1–15 (2015)

    Article  Google Scholar 

  15. C. Renso, S. Spaccapietra, E. Zimányi (eds.), Mobility Data: Modeling, Management, and Understanding (Cambridge University Press, Cambridge, 2013)

    Google Scholar 

  16. S. Spaccapietra, C. Parent, M.L. Damiani, J.A. de Macedo, F. Porto, C. Vangenot, A conceptual view on trajectories. Data Knowl. Eng. 65(1), 126–146 (2008)

    Article  Google Scholar 

  17. Y. Tao, G. Kollios, J. Considine, F. Li, D. Papadias, Spatio-temporal aggregation using sketches, in Proceedings of ICDE (2004), pp. 214–225

    Google Scholar 

  18. R. Wagner, J.A.F. de Macêdo, A. Raffaetà, C. Renso, A. Roncato, R. Trasarti, Mob-warehouse: a semantic approach for mobility analysis with a trajectory data warehouse, in Proceedings of SeCoGIS, LNCS, vol. 8697 (2013), pp. 127–136

    Google Scholar 

  19. L. Yang, Z. Hu, J. Long, T. Guo, 5W1H-based conceptual modeling framework for domain ontology and its application on STPO, in Proceedings of SKG (2011), pp. 203–206

    Google Scholar 

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Author information

Authors and Affiliations

  1. ISTI-CNR, Pisa, Italy

    Franco Maria Nardini, Salvatore Orlando, Raffaele Perego & Chiara Renso

  2. DAIS - Università Ca’ Foscari Venezia, Venezia, Italy

    Salvatore Orlando, Alessandra Raffaetà & Claudio Silvestri

Authors
  1. Franco Maria Nardini
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  2. Salvatore Orlando
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  3. Raffaele Perego
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  4. Alessandra Raffaetà
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  5. Chiara Renso
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  6. Claudio Silvestri
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Corresponding author

Correspondence to Salvatore Orlando .

Editor information

Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Sergio Flesca

  2. University of Calabria, Rende, Italy

    Sergio Greco

  3. ICAR-CNR, Rende, Italy

    Elio Masciari

  4. University of Calabria, Rende, Italy

    Domenico Saccà

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Nardini, F.M., Orlando, S., Perego, R., Raffaetà, A., Renso, C., Silvestri, C. (2018). Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems. In: Flesca, S., Greco, S., Masciari, E., Saccà, D. (eds) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-61893-7_24

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  • DOI: https://doi.org/10.1007/978-3-319-61893-7_24

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