2026-07-22T08:26:35Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:11365 2024-03-06T10:48:02Z ddc:004 open_access

Two-Dimensional Rule Language for Querying Sensor Log Data: A Framework and Use Cases Brandt, Sebastian Calvanese, Diego Kalaycı, Elem Güzel Kontchakov, Roman Mörzinger, Benjamin Ryzhikov, Vladislav Xiao, Guohui Zakharyaschev, Michael Ontology-based data access temporal logic sensor log data 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Sebastian Brandt and Diego Calvanese and Elem Güzel Kalaycı and Roman Kontchakov and Benjamin Mörzinger and Vladislav Ryzhikov and Guohui Xiao and Michael Zakharyaschev 2019 Is Part Of LIPIcs, Volume 147, 26th International Symposium on Temporal Representation and Reasoning (TIME 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.TIME.2019.7 urn:nbn:de:0030-drops-113658 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2019.7 eng https://creativecommons.org/licenses/by/3.0/legalcode