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    Two-dimensional rule language for querying sensor log data: a framework and use cases

    Brandt, S. and Calvanese, D. and Güzel Kalayci, E. and Kontchakov, Roman and Mörzinger, B. and Ryzhikov, Vladislav and Xiao, G. and Zakharyaschev, Michael (2019) Two-dimensional rule language for querying sensor log data: a framework and use cases. In: Gamper, J. and Pinchinat, S. and Sciavicco, G. (eds.) 26th International Symposium on Temporal Representation and Reasoning (TIME 2019). Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, pp. 1-15. ISBN 9783959771276.

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    Abstract

    Motivated by two industrial use cases that involve detecting events of interest in (asynchronous) time series from sensors in manufacturing rigs and gas turbines, we design an expressive rule language DslD equipped with interval aggregate functions (such as weighted average over a time interval), Allen’s interval relations and various metric constructs. We demonstrate how to model events in the uses cases in terms of DslD programs. We show that answering DslD queries in our use cases can be reduced to evaluating SQL queries. Our experiments with the use cases, carried out on the Apache Spark system, show that such SQL queries scale well on large real-world datasets.

    Metadata

    Item Type: Book Section
    Additional Information: Leibniz International Proceedings in Informatics (LIPIcs) v.147, ISSN: 1868-8969
    Keyword(s) / Subject(s): Ontology-based data access, temporal logic, sensor log data
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Roman Kontchakov
    Date Deposited: 19 Jan 2021 10:48
    Last Modified: 09 Jun 2021 23:43
    URI: https://eprints.bbk.ac.uk/id/eprint/41539

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