The Archaeological Urban Information System of Verona: an approach to interoperability through standard-based conceptual modelling

Alberto Belussi, Sara Migliorini, Piergiovanna Grossi

«Archeologia e Calcolatori» 2018, 29, 223-240; doi: 10.19282/ac.29.2018.19

Abstract

Since 2011 the Archaeological Geographical Information System of Verona, SITAVR, has been implemented based on the existing and well-consolidated Archaeological Information Systemof Rome, SITAR, developed since 2008. The main objective of the two projects is collecting information about the archaeological findings regarding the two Italian urban centres with the aim to support a complete archaeological analysis and allow for easy data reuse. The purpose of this research is twofold: (i) archaeological studies, aimed to collect data and contents, and (ii) information systems applied to cultural heritage, aimed to organize, use and preserve the data on the basis of the innovations related to methodologies, technologies and standards. In this regard, the first step in SITAVR project was to create a domain model of archaeological data, by applying standard methodology for producing an abstract conceptual schema. Next steps were the definition of web services and a common format for data exchange; further in this direction was the creation of a mapping between this model and other international standards. The definition of the conceptual schema and the metadata, the common format for data exchange and the mapping on international standards have supported and encouraged the cooperation between SITAVR and SITAR projects. Moreover also some practical tests of interoperability between the two systems have been performed, thus demonstrating the effectiveness of the proposed approach. In particular, an experiment regarding the integrated execution of some queries on the two systems (funerary contexts and the road network of the two towns) was successfully implemented. In conclusion, our work further demonstrates that interoperability requires an initial large investment of resources, but allows to achieve results in terms of data analysis that by means of non-integrated systems cannot be easily accomplished.

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