Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH scholarly article en Michaliszyn, Jakub; Otop, Jan; Wieczorek, Piotr http://www.dagstuhl.de/lipics License
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URN: urn:nbn:de:0030-drops-83989
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Querying Best Paths in Graph Databases

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Abstract

Querying graph databases has recently received much attention. We propose a new approach to this problem, which balances competing goals of expressive power, language clarity and computational complexity. A distinctive feature of our approach is the ability to express properties of minimal (e.g. shortest) and maximal (e.g. most valuable) paths satisfying given criteria. To express complex properties in a modular way, we introduce labelling-generating ontologies. The resulting formalism is computationally attractive - queries can be answered in non-deterministic logarithmic space in the size of the database.

BibTeX - Entry

@InProceedings{michaliszyn_et_al:LIPIcs:2018:8398,
  author =	{Jakub Michaliszyn and Jan Otop and Piotr Wieczorek},
  title =	{{Querying Best Paths in Graph Databases}},
  booktitle =	{37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2017)},
  pages =	{43:1--43:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-055-2},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{93},
  editor =	{Satya Lokam and R. Ramanujam},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8398},
  URN =		{urn:nbn:de:0030-drops-83989},
  doi =		{10.4230/LIPIcs.FSTTCS.2017.43},
  annote =	{Keywords: graph databases, queries, aggregation}
}

Keywords: graph databases, queries, aggregation
Seminar: 37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2017)
Issue date: 2018
Date of publication: 2018


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