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.FSTTCS.2017.43
URN: urn:nbn:de:0030-drops-83989
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8398/
Michaliszyn, Jakub ;
Otop, Jan ;
Wieczorek, Piotr
Querying Best Paths in Graph Databases
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: |
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graph databases, queries, aggregation |
Collection: |
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37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2017) |
Issue Date: |
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2018 |
Date of publication: |
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12.02.2018 |