Setting the Course of Emergency Vehicle Routing Using Geolinked Open Data for the Municipality of Catania

  • Sergio Consoli
  • Aldo Gangemi
  • Andrea Giovanni Nuzzolese
  • Silvio Peroni
  • Diego Reforgiato Recupero
  • Daria Spampinato
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

Linked Open Data (LOD) has gained significant momentum over the past years as a best practice of promoting the sharing and publication of structured data on the semantic Web. Currently LOD is reaching significant adoption also in Public Administrations (PAs), where it is often required to be connected to existing platforms, such as GIS-based data management systems. Bearing on previous experience with the pioneering data.cnr.it, through Semantic Scout, as well as the Agency for Digital Italy recommendations for LOD in Italian PA, we are working on the extraction, publication, and exploitation of data from the Geographic Information System of the Municipality of Catania, referred to as SIT (“Sistema Informativo Territoriale”). The goal is to boost the metropolis towards the route of a modern Smart City by providing prototype integrated solutions supporting transport, public health, urban decor, and social services, to improve urban life. In particular a mobile application focused on real-time road traffic and public transport management is currently under development to support sustainable mobility and, especially, to aid the response to urban emergencies, from small accidents to more serious disasters. This paper describes the results and lessons learnt from the first work campaign, aiming at analyzing, reengineering, linking, and formalizing the Shape-based geo-data from the SIT.

Keywords

Geo-Linked Open Data applications Linked eGovernment Data extraction and publication Sustainable mobility Emergency vehicle routing 

References

  1. 1.
    Berners-Lee, T., Chen, Y., Chilton, L., Connolly, D., Dhanaraj, R., Hollenbach, J., Lerer, A., Sheets, D.: Tabulator: exploring and analyzing linked data on the semantic web. In: Proceedings of the 3rd International Semantic Web User Interaction Workshop, SWUI 2006, Athens, USA (2006)Google Scholar
  2. 2.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)CrossRefGoogle Scholar
  3. 3.
    Tan, P.N., Steinbach, M., Kumar, V.: Introduction to Data Mining. Addison-Wesley, Boston (2006)Google Scholar
  4. 4.
    Diaz, R., Behr, J., Toba, A., Giles, B., Manwoo, N., Longo, F., Nicoletti, L.: Humanitarian/emergency logistics models: a state of the art overview. vol. 45, pp. 261–268 (2013)Google Scholar
  5. 5.
    Liu, B.: Route finding by using knowledge about the road network. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 27(4), 436–448 (1997)CrossRefGoogle Scholar
  6. 6.
    Municipality of Catania: Il Sistema Informativo Territoriale. http://www.sitr.provincia.catania.it:81/il-sit. Accessed Jan 2014
  7. 7.
    Geiger, C.P., von Lucke, J.: Open Government and (Linked) (Open) (Government) (Data). JeDEM - eJournal of eDemocracy and Open Government 4(2), 265–278 (2012)Google Scholar
  8. 8.
    Geiger, C.P., von Lucke, J.: Open Government Data. In: Parycek, P., Kripp, J.M., Edelmann, N. (eds.) CeDEM11, Proceedings of the International Conference for E-Democracy and Open Government, Edition Donau-Universitat Krems, Austria, pp. 183–194 (2011)Google Scholar
  9. 9.
    Alani, H., Dupplaw, D., Sheridan, J., O’Hara, K., Darlington, J., Shadbolt, N.R., Tullo, C.: Unlocking the potential of public sector information with semantic web technology. In: Aberer, K., et al. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 708–721. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Ding, L., Difranzo, D., Graves, A., Michaelis, J., Li, X., McGuinness, D., Hendler, J.: Data-gov Wiki: towards linking government data. In: Proceedings of the AAAI 2010 Spring Symposium on Linked Data Meets Artificial Intelligence, Palo Alto, CA, vol. SS-10-07, pp. 38–43. AAAI Press (2010)Google Scholar
  11. 11.
    Ding, L., Lebo, T., Erickson, J.S., DiFranzo, D., Williams, G.T., Li, X., Michaelis, J., Graves, A., Zheng, J.G., Shangguan, Z., Flores, J., McGuinness, D.L., Hendler, J.A.: TWC LOGD: a portal for linked open government data ecosystems. Web Semant. Sci. Serv. Agents World Wide Web 9(3), 325–333 (2011)CrossRefGoogle Scholar
  12. 12.
    Shadbolt, N., O’Hara, K., Berners-Lee, T., Gibbins, N., Glaser, H., Hall, W., Schraefel, M.: Linked Open Government Data: lessons from data.gov.uk. IEEE Intell. Syst. 27(3), 16–24 (2012)CrossRefGoogle Scholar
  13. 13.
    Baldassarre, C., Daga, E., Gangemi, A., Gliozzo, A., Salvati, A., Troiani, G.: Semantic scout: making sense of organizational knowledge. In: Cimiano, P., Pinto, H.S. (eds.) EKAW 2010. LNCS, vol. 6317, pp. 272–286. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  14. 14.
    Gangemi, A., Daga, E., Salvati, A., Troiani, G., Baldassarre, C.: Linked Open Data for the Italian PA: the CNR experience. Informatica e Diritto 1(2), 453–476 (2011)Google Scholar
  15. 15.
    Agency for a Digital Italy: Linee guida per i siti web delle PA. Art. 4 della Direttiva n. 8/2009 del Ministro per la pubblica amministrazione e l’innovazione (2011). http://www.digitpa.gov.it/sites/default/files/linee_guida_siti_web_delle_pa_2011.pdf
  16. 16.
    Agency for a Digital Italy: Linee guida per l’interoperabilità semantica attraverso Linked Open Data. Commissione di coordinamento SPC (2012). http://www.digitpa.gov.it/sites/default/files/allegati_tec/CdC-SPC-GdL6-InteroperabilitaSemOpenData_v2.0_0.pdf
  17. 17.
    Lamb, A., Johnson, L.: Virtual expeditions: Google Earth, GIS, and geovisualization technologies in teaching and learning. Teach. Libr. 37(3), 81–85 (2010)Google Scholar
  18. 18.
    Dodsworth, E., Nicholson, A.: Academic uses of Google Earth and Google Maps in a library setting. Inf. Technol. Libr. 31(2), 81–85 (2012)Google Scholar
  19. 19.
    EUROCONTROL: WGS 84 implementation manual. Institute of Geodesy and Navigation (IfEN), University FAF Munich, Germany (1998)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sergio Consoli
    • 1
  • Aldo Gangemi
    • 1
    • 3
  • Andrea Giovanni Nuzzolese
    • 1
    • 2
  • Silvio Peroni
    • 1
    • 2
  • Diego Reforgiato Recupero
    • 1
  • Daria Spampinato
    • 1
  1. 1.Semantic Technology LaboratoryNational Research Council (CNR), Institute of Cognitive Sciences and TechnologiesRomeItaly
  2. 2.Department of Computer ScienceUniversity of BolognaBolognaItaly
  3. 3.LIPNUniversity Paris 13, Sorbone Cité, UMR CNRSVilletaneuseFrance

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