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Documents authored by Kontchakov, Roman

Document
DOI: 10.4230/LIPIcs.TIME.2019.7
Two-Dimensional Rule Language for Querying Sensor Log Data: A Framework and Use Cases

Authors: Sebastian Brandt, Diego Calvanese, Elem Güzel Kalaycı, Roman Kontchakov, Benjamin Mörzinger, Vladislav Ryzhikov, Guohui Xiao, and Michael Zakharyaschev

Published in: LIPIcs, Volume 147, 26th International Symposium on Temporal Representation and Reasoning (TIME 2019)

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.
Cite as

Sebastian Brandt, Diego Calvanese, Elem Güzel Kalaycı, Roman Kontchakov, Benjamin Mörzinger, Vladislav Ryzhikov, Guohui Xiao, and Michael Zakharyaschev. Two-Dimensional Rule Language for Querying Sensor Log Data: A Framework and Use Cases. In 26th International Symposium on Temporal Representation and Reasoning (TIME 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 147, pp. 7:1-7:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{brandt_et_al:LIPIcs.TIME.2019.7,
  author =	{Brandt, Sebastian and Calvanese, Diego and Kalayc{\i}, Elem G\"{u}zel and Kontchakov, Roman and M\"{o}rzinger, Benjamin and Ryzhikov, Vladislav and Xiao, Guohui and Zakharyaschev, Michael},
  title =	{{Two-Dimensional Rule Language for Querying Sensor Log Data: A Framework and Use Cases}},
  booktitle =	{26th International Symposium on Temporal Representation and Reasoning (TIME 2019)},
  pages =	{7:1--7:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-127-6},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{147},
  editor =	{Gamper, Johann and Pinchinat, Sophie and Sciavicco, Guido},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2019.7},
  URN =		{urn:nbn:de:0030-drops-113658},
  doi =		{10.4230/LIPIcs.TIME.2019.7},
  annote =	{Keywords: Ontology-based data access, temporal logic, sensor log data}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.TIME.2017.1
Ontology-Mediated Query Answering over Temporal Data: A Survey (Invited Talk)

Authors: Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, and Michael Zakharyaschev

Published in: LIPIcs, Volume 90, 24th International Symposium on Temporal Representation and Reasoning (TIME 2017)

Abstract
We discuss the use of various temporal knowledge representation formalisms for ontology-mediated query answering over temporal data. In particular, we analyse ontology and query languages based on the linear temporal logic LTL, the multi-dimensional Halpern-Shoham interval temporal logic HS_n, as well as the metric temporal logic MTL. Our main focus is on the data complexity of answering temporal ontology-mediated queries and their rewritability into standard first-order and datalog queries.
Cite as

Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, and Michael Zakharyaschev. Ontology-Mediated Query Answering over Temporal Data: A Survey (Invited Talk). In 24th International Symposium on Temporal Representation and Reasoning (TIME 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 90, pp. 1:1-1:37, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{artale_et_al:LIPIcs.TIME.2017.1,
  author =	{Artale, Alessandro and Kontchakov, Roman and Kovtunova, Alisa and Ryzhikov, Vladislav and Wolter, Frank and Zakharyaschev, Michael},
  title =	{{Ontology-Mediated Query Answering over Temporal Data: A Survey}},
  booktitle =	{24th International Symposium on Temporal Representation and Reasoning (TIME 2017)},
  pages =	{1:1--1:37},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-052-1},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{90},
  editor =	{Schewe, Sven and Schneider, Thomas and Wijsen, Jef},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2017.1},
  URN =		{urn:nbn:de:0030-drops-79338},
  doi =		{10.4230/LIPIcs.TIME.2017.1},
  annote =	{Keywords: Description Logic, Temporal Logic, Ontology Mediated Query Answering, Data Complexity}
}
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