Enumeration for FO Queries over Nowhere Dense Graphs
Enumeration for FO Queries over Nowhere Dense Graphs
复制标题
无处密集图上 FO 查询的枚举
DOI:
10.1145/3196959.3196971
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Alexandre Vigny
中科院分区:
文献类型:
--
作者:
Nicole Schweikardt;Luc Segoufin;Alexandre Vigny
We consider the evaluation of first-order queries over classes of databases that arenowhere dense.The notion of nowhere dense classes was introduced by Nesetril and Ossona de Mendez as a formalization of classes of "sparse" graphs and generalizes many well-known classes of graphs, such as classes of bounded degree, bounded tree-width, or bounded expansion. It has recently been shown by Grohe, Kreutzer, and Siebertz that over nowhere dense classes of databases, first-order sentences can be evaluated in pseudo-linear time (pseudo-linear time means that for all ε there exists an algorithm working in time O(n1+ε), wherenis the size of the database). For first-order queries of higher arities, we show that over any nowhere dense class of databases, the set of their solutions can be enumerated with constant delay after a pseudo-linear time preprocessing. In the same context, we also show that after a pseudo-linear time preprocessing we can, on input of a tuple, test in constant time whether it is a solution to the query.
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DOI:
--
发表时间:
2017
期刊:
International Conference on Database Theory
影响因子:
--
作者:
L. Segoufin;Alexandre Vigny
通讯作者:
Alexandre Vigny
DOI:
--
发表时间:
2007
期刊:
Annual Conference for Computer Science Logic
影响因子:
--
作者:
Guillaume Bagan;Arnaud Durand;E. Grandjean
通讯作者:
E. Grandjean
DOI:
10.1145/3232056
发表时间:
2017
期刊:
ACM Transactions on Database Systems (TODS)
影响因子:
--
作者:
Christoph Berkholz;Jens Keppeler;Nicole Schweikardt
通讯作者:
Nicole Schweikardt
DOI:
10.1145/3051095
发表时间:
2013-11
期刊:
Journal of the ACM (JACM)
影响因子:
--
作者:
Martin Grohe;S. Kreutzer;S. Siebertz
通讯作者:
Martin Grohe;S. Kreutzer;S. Siebertz
DOI:
10.1145/3294052.3319702
发表时间:
2018
期刊:
Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
影响因子:
--
作者:
Antoine Amarilli;P. Bourhis;S. Mengel;Matthias Niewerth
通讯作者:
Matthias Niewerth