Joining Data and Maps in the Government Enterprise Architecture by a Semantic Approach: Methodology, Ontology and Case Study

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 190)


The problem of managing data and maps within an ontological approach is little studied in the Government Enterprise Architecture. Aim of this paper is to present a methodology to solve this problem in case we would join municipal and cadastral data bases. In particular, we aim at linking the information contained in the local taxation registry to the urban territory to allow the Public Administration managers to check if the taxes have been paid, and the citizens to compute the correct amount to pay. The paper presents in detail the adopted ontology and the technological architecture, whereas a case study clarifies how the methodology works in practice. We plan to extend this methodology to manage e-gov services needing to interconnect data stores of city interest to vector layers derived from the Cadastre or other CAD systems.


E-Government Government Enterprise Architecture Geographic information systems Ontology engineering 


  1. 1.
    Sheth, A.: Enterprise applications of semantic web. In: IFIP International Conference on Industrial Applications of Semantic Web (IASW2005), Jyväskylä, Finland (2005)Google Scholar
  2. 2.
    Hayes, P.: RDF Semantics. W3C Recommendation 10 (2004).
  3. 3.
    Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF, W3C Rec. 15.1.2. (2008).
  4. 4.
    Zhai, J., Jiang, J., Yu, Y., Li, J.: Ontology-based integrated information platform for digital city. In: IEEE Proceedings of Wireless Communications, Networking and Mobile Computing, WiCOM ’08 (2008)Google Scholar
  5. 5.
    Faro A., Giordano D., Musarra A.: Ontology based mobility information systems. In: Proceedings of Systems, Men and Cybernetics Conference, SMC’03, vol. 3, pp. 4288–4293. IEEE (2003)Google Scholar
  6. 6.
    Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook: Theory, Implementation, Applications. Cambridge University Press, Cambridge (2003)Google Scholar
  7. 7.
    Saha, P.: Government Enterprise Architecture Research Project, NUS Systems Science Institute (2010).
  8. 8.
    Langegger, A., Wöß, W., Blöchl, M.: A semantic web middleware for virtual data integration on the web. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 493–507. Springer, Heidelberg (2008)Google Scholar
  9. 9.
    Costanzo, A., Faro, A., Giordano, D., Venticinque, M.: Wi-City: a federated architecture of metropolitan databases to support mobile users in real time. In: International Conference on Computer and Information Science, ICCIS, A Conference of World Engineering, Science and Technology Congress, ESTCON (2012)Google Scholar
  10. 10.
    Nebot, V., Berlanga, R.: Building data warehouses with semantic data. Decis. Support Syst. 52(4) (2012).
  11. 11.
    Costanzo, A., Faro, A., Giordano, D.: WI-CITY: living, deciding and planning using mobiles in Intelligent Cities. In: 3rd International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS, Barcelona, INSTICC (2013)Google Scholar
  12. 12.
    Faro, A., Giordano, D., Spampinato, C.: Integrating location tracking, traffic monitoring and semantics in a layered ITS architecture. Intell. Transport Syst. IET 5(3), 197–206 (2011)CrossRefGoogle Scholar
  13. 13.
    Della Valle E., Qasim, H.M., Celino, I.: Towards treating GIS as virtual RDF graphs. In: Proceedings of the 1st International Workshop on Pervasive Web Mapping, Geo-processing and Services, WebMGS (2010)Google Scholar
  14. 14.
    Boškovic, D., Ristic, A., Govedarica, M., Przulj, D.: Ontology development for land administration. In: IEEE 8th International Symposium on Intelligent Systems and Informatics, SISY, (2010)Google Scholar
  15. 15.
    Hay, G.C, Hall, G.B.: A semantic web approach to application configuration in the land administration domain. FIG Congress 2010 Facing the Challenges - Building the Capacity Sydney, (2010)Google Scholar
  16. 16.
    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

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Electrical, Electronics and Computer EngineeringUniversity of CataniaCataniaItaly

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