Joining data and maps in the government enterprise architecture by a semantic approach: Methodology, ontology and case study

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.