Data interoperability refers to the issue of accessing and processing data from multiple sources in order to create more holistic and contextual information for improving data analysis, for better decision-making, and for accountability purposes. In the era towards a data-driven society, the notion of data interoperability is of paramount importance. Looking at the research work in the last decades, several types of data interoperability scenarios emerged, including the following.

Direct and Reverse Rewriting in Data Interoperability / Lenzerini, M.. - 11483:(2019), pp. 3-13. (Intervento presentato al convegno 31st International Conference on Advanced Information Systems Engineering, CAiSE 2019 tenutosi a Rome; Italy) [10.1007/978-3-030-21290-2_1].

Direct and Reverse Rewriting in Data Interoperability

Lenzerini M.
2019

Abstract

Data interoperability refers to the issue of accessing and processing data from multiple sources in order to create more holistic and contextual information for improving data analysis, for better decision-making, and for accountability purposes. In the era towards a data-driven society, the notion of data interoperability is of paramount importance. Looking at the research work in the last decades, several types of data interoperability scenarios emerged, including the following.
2019
31st International Conference on Advanced Information Systems Engineering, CAiSE 2019
Decision making; Engineering research; Information systems; Information use; Interoperability; Systems engineering
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Direct and Reverse Rewriting in Data Interoperability / Lenzerini, M.. - 11483:(2019), pp. 3-13. (Intervento presentato al convegno 31st International Conference on Advanced Information Systems Engineering, CAiSE 2019 tenutosi a Rome; Italy) [10.1007/978-3-030-21290-2_1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1367998
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