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.
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The same holds for UCQ-maximally sound \(\mathcal {S}\)-to-\(\mathcal {O}\) \(\varSigma \)-rewritings of \(q_\mathcal {S}\).
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Acknowledgement
The author would like to thank Gianluca Cima and Antonella Poggi for several discussions on the notion of reverse rewriting. This work has been partially supported by MIUR under the PRIN project “HOPE: High-quality Open data Publishing and Enrichment”.
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Lenzerini, M. (2019). Direct and Reverse Rewriting in Data Interoperability. In: Giorgini, P., Weber, B. (eds) Advanced Information Systems Engineering. CAiSE 2019. Lecture Notes in Computer Science(), vol 11483. Springer, Cham. https://doi.org/10.1007/978-3-030-21290-2_1
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