Abstract
Data exchange is concerned with the transformation of data structured under one schema into a different schema. In practice, this task is usually accomplished in a procedural way. In a landmark paper, Fagin et al. have proposed a declarative, purely logical approach to this task. Since then, data exchange has been intensively studied in the database research community. Recently, it has been extended to probabilistic data exchange. In this paper, we propose an extension to fuzzy data exchange.
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Medina, J., Pichler, R. (2014). A Fuzzy Extension of Data Exchange. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_22
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DOI: https://doi.org/10.1007/978-3-319-08855-6_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08854-9
Online ISBN: 978-3-319-08855-6
eBook Packages: Computer ScienceComputer Science (R0)