Advertisement

QuerioCity: A Linked Data Platform for Urban Information Management

  • Vanessa Lopez
  • Spyros Kotoulas
  • Marco Luca Sbodio
  • Martin Stephenson
  • Aris Gkoulalas-Divanis
  • Pól Mac Aonghusa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7650)

Abstract

In this paper, we present QuerioCity, a platform to catalog, index and query highly heterogenous information coming from complex systems, such as cities. A series of challenges are identified: namely, the heterogeneity of the domain and the lack of a common model, the volume of information and the number of data sets, the requirement for a low entry threshold to the system, the diversity of the input data, in terms of format, syntax and update frequency (streams vs static data), and the sensitivity of the information. We propose an approach for incremental and continuous integration of static and streaming data, based on Semantic Web technologies. The proposed system is unique in the literature in terms of handling of multiple integrations of available data sets in combination with flexible provenance tracking, privacy protection and continuous integration of streams. We report on lessons learnt from building the first prototype for Dublin.

References

  1. 1.
    Berners-Lee, T.: Putting government data online (2009)Google Scholar
  2. 2.
    Alani, H., Dupplaw, D., Sheridan, J., O’Hara, K., Darlington, J., Shadbolt, N., Tullo, C.: Unlocking the Potential of Public Sector Information with Semantic Web Technology. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ISWC/ASWC 2007. LNCS, vol. 4825, pp. 708–721. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  3. 3.
    Maali, F., Cyganiak, R., Peristeras, V.: A Publishing Pipeline for Linked Government Data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 778–792. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  4. 4.
    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.: Twc logd: A portal for linked open government data ecosystems. Web Semantics (2011) (in press) Google Scholar
  5. 5.
    Sheridan, J., Tennison, J.: Linking uk government data. In: LDOW. CEUR Workshop Proceedings, vol. 628. CEUR-WS.org (2010)Google Scholar
  6. 6.
    Auer, S., Lehmann, J., Hellmann, S.: LinkedGeoData: Adding a Spatial Dimension to the Web of Data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 731–746. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Goodwin, J., Dolbear, C., Hart, G.: Geographical linked data: The administrative geography of great britain on the semantic web. Transaction in GIS 12(1), 19–30 (2009)Google Scholar
  8. 8.
    García-Silva, A., Gómez-Pérez, A., Suárez-Figueroa, M.C., Villazón-Terrazas, B.: A Pattern Based Approach for Re-engineering Non-Ontological Resources into Ontologies. In: Domingue, J., Anutariya, C. (eds.) ASWC 2008. LNCS, vol. 5367, pp. 167–181. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  9. 9.
    Pivk, A.: Automatic ontology generation from web tabular structures. AI Communications 19, 2006 (2005)MathSciNetGoogle Scholar
  10. 10.
    Hurst, M.: Layout and language: Challenges for table understanding on the web, pp. 27–30 (2001)Google Scholar
  11. 11.
    Venetis, P., Halevy, A., Madhavan, J., Paşca, M., Shen, W., Wu, F., Miao, G., Wu, C.: Recovering semantics of tables on the web. VLDB Endow. 4(9), 528–538 (2011)Google Scholar
  12. 12.
    Han, L., Finin, T., Parr, C.S., Sachs, J., Joshi, A.: RDF123: From spreadsheets to RDF. In: Sheth, A., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 451–466. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  13. 13.
    Scharffe, F., Atemezing, G., Troncy, R., Gandon, F., Villata, S., Bucher, B., Hamdi, F., Bihanic, L., Kepeklian, G., Cotton, F., Euzenat, J., Fan, Z., Vandenbussche, P.-Y., Vatant, B.: Enabling linked-data publication with the datalift platform. In (AAAI 2012) Workshop on Semantic Cities (2012)Google Scholar
  14. 14.
    Zhao, J.: Open provenance model vocabulary specification. Tech. rep., University of Oxford (2010), http://open-biomed.sourceforge.net/opmv/ns.html
  15. 15.
    Le-Phuoc, D., Parreira, J., Hausenblas, M., Han, Y., Hauswirth, M.: Live linked open sensor database. In: Proceedings of the 6th International Conference on Semantic Systems, I-SEMANTICS 2010, pp. 46:1–46:4. ACM, New York (2010)Google Scholar
  16. 16.
    Fung, B.C.M., Wang, K., Chen, R., Yu, P.S.: Privacy-preserving data publishing: A survey of recent developments. ACM Comput. Survey 42(4), 14:1–14:53 (2010)Google Scholar
  17. 17.
    Barbieri, D., Braga, D., Ceri, S., Della Valle, E., Grossniklaus, M.: Querying rdf streams with c-sparql. SIGMOD Record 39(1), 20–26 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Vanessa Lopez
    • 1
  • Spyros Kotoulas
    • 1
  • Marco Luca Sbodio
    • 1
  • Martin Stephenson
    • 1
  • Aris Gkoulalas-Divanis
    • 1
  • Pól Mac Aonghusa
    • 1
  1. 1.Smarter Cities Technology CentreIBM ResearchIreland

Personalised recommendations