License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.TIME.2017.1
URN: urn:nbn:de:0030-drops-79338
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7933/
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Artale, Alessandro ; Kontchakov, Roman ; Kovtunova, Alisa ; Ryzhikov, Vladislav ; Wolter, Frank ; Zakharyaschev, Michael

Ontology-Mediated Query Answering over Temporal Data: A Survey (Invited Talk)

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LIPIcs-TIME-2017-1.pdf (0.9 MB)


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.

BibTeX - Entry

@InProceedings{artale_et_al:LIPIcs:2017:7933,
  author =	{Alessandro Artale and Roman Kontchakov and Alisa Kovtunova and Vladislav Ryzhikov and Frank Wolter and Michael Zakharyaschev},
  title =	{{Ontology-Mediated Query Answering over Temporal Data: A Survey (Invited Talk)}},
  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 =	{Sven Schewe and Thomas Schneider and Jef Wijsen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7933},
  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}
}

Keywords: Description Logic, Temporal Logic, Ontology Mediated Query Answering, Data Complexity
Collection: 24th International Symposium on Temporal Representation and Reasoning (TIME 2017)
Issue Date: 2017
Date of publication: 25.09.2017


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