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Understanding the Semantic SQL Transducer

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Advanced Information Systems Engineering Workshops (CAiSE 2024)

Abstract

Nowadays we observe an evolving landscape of data management and analytics, emphasising the significance of meticulous data management practices, semantic modelling, and bridging business-technical divides, to optimise data utilisation and enhance value from datasets in modern data environments. In this paper we introduce and explain the basic formalisation of the Semantic SQL Transducer, a well-founded but practical tool providing the materialised lossless conceptual view of an arbitrary relational source data, contributing to a knowledge-centric data stack.

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Acknowledgments

This long-standing work has been realised through collaborations and discussions with Nicola Pedot, Nonyelum Ndefo, Francesco Sportelli, Sergio Tessaris, Volha Kerhet, Nhung Ngo, Paolo Guagliardo, David Toman, Grant Weddell, Alex Borgida, Terry Halpin, Jan Hidders, Sebastian Link. The activity has been partly funded by the Confucius project of the Free University of Bozen-Bolzano.

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Correspondence to Enrico Franconi .

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Abgrall, T., Franconi, E. (2024). Understanding the Semantic SQL Transducer. In: Almeida, J.P.A., Di Ciccio, C., Kalloniatis, C. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2024. Lecture Notes in Business Information Processing, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-031-61003-5_12

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  • DOI: https://doi.org/10.1007/978-3-031-61003-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61002-8

  • Online ISBN: 978-3-031-61003-5

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