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.
CITATION STYLE
Lenzerini, M. (2019). Direct and Reverse Rewriting in Data Interoperability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11483 LNCS, pp. 3–13). Springer Verlag. https://doi.org/10.1007/978-3-030-21290-2_1
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