3 Search Results for "Zakharyaschev, Michael"


Document
Deciding FO-Rewritability of Ontology-Mediated Queries in Linear Temporal Logic

Authors: Vladislav Ryzhikov, Yury Savateev, and Michael Zakharyaschev

Published in: LIPIcs, Volume 206, 28th International Symposium on Temporal Representation and Reasoning (TIME 2021)


Abstract
Our concern is the problem of determining the data complexity of answering an ontology-mediated query (OMQ) given in linear temporal logic LTL over (ℤ, <) and deciding whether it is rewritable to an FO(<)-query, possibly with extra predicates. First, we observe that, in line with the circuit complexity and FO-definability of regular languages, OMQ answering in AC⁰, ACC⁰ and NC¹ coincides with FO(<,≡)-rewritability using unary predicates x ≡ 0 (mod n), FO(<,MOD)-rewritability, and FO(RPR)-rewritability using relational primitive recursion, respectively. We then show that deciding FO(<)-, FO(<,≡)- and FO(<,MOD)-rewritability of LTL OMQs is ExpSpace-complete, and that these problems become PSpace-complete for OMQs with a linear Horn ontology and an atomic query, and also a positive query in the cases of FO(<)- and FO(<,≡)-rewritability. Further, we consider FO(<)-rewritability of OMQs with a binary-clause ontology and identify OMQ classes, for which deciding it is PSpace-, Π₂^p- and coNP-complete.

Cite as

Vladislav Ryzhikov, Yury Savateev, and Michael Zakharyaschev. Deciding FO-Rewritability of Ontology-Mediated Queries in Linear Temporal Logic. In 28th International Symposium on Temporal Representation and Reasoning (TIME 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 206, pp. 10:1-10:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{ryzhikov_et_al:LIPIcs.TIME.2021.10,
  author =	{Ryzhikov, Vladislav and Savateev, Yury and Zakharyaschev, Michael},
  title =	{{Deciding FO-Rewritability of Ontology-Mediated Queries in Linear Temporal Logic}},
  booktitle =	{28th International Symposium on Temporal Representation and Reasoning (TIME 2021)},
  pages =	{10:1--10:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-206-8},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{206},
  editor =	{Combi, Carlo and Eder, Johann and Reynolds, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2021.10},
  URN =		{urn:nbn:de:0030-drops-147867},
  doi =		{10.4230/LIPIcs.TIME.2021.10},
  annote =	{Keywords: Linear temporal logic, ontology-mediated query, first-order rewritability}
}
Document
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-dev.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
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)


Copy BibTex To Clipboard

@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-dev.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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