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2022 | OriginalPaper | Chapter

Seminaïve Materialisation in DatalogMTL

Authors : Dingmin Wang, Przemysław Andrzej Wałęga, Bernardo Cuenca Grau

Published in: Rules and Reasoning

Publisher: Springer International Publishing

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Abstract

The chapter explores the challenges of materialisation-based reasoning in DatalogMTL, a temporal rule-based language. It introduces a seminaïve materialisation procedure that minimises redundant computations, ensuring efficient handling of complex recursive programs and large datasets. The optimised procedure extends traditional seminaïve evaluation, addressing the intricacies of metric temporal operators and ensuring termination in practical cases. The authors also present experimental results demonstrating the superior performance of the seminaïve approach in terms of running time and memory consumption, highlighting its potential for real-world applications in data-intensive environments.

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Metadata
Title
Seminaïve Materialisation in DatalogMTL
Authors
Dingmin Wang
Przemysław Andrzej Wałęga
Bernardo Cuenca Grau
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-031-21541-4_12

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