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Article . 2016
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SIAM Journal on Computing
Article . 2016 . Peer-reviewed
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Semantic acyclicity on graph databases

Authors: Barceló Baeza, Pablo; Romero Orth, Miguel; Vardi, Moshe;

Semantic acyclicity on graph databases

Abstract

Summary: It is known that unions of acyclic conjunctive queries (CQs) can be evaluated in linear time, as opposed to arbitrary CQs, for which the evaluation problem is NP-complete. It follows from techniques in the area of constraint-satisfaction problems that semantically acyclic unions of CQs -- i.e., unions of CQs that are equivalent to a union of acyclic ones -- can be evaluated in polynomial time, though testing membership in the class of semantically acyclic CQs is NP-complete. We study here the fundamental notion of semantic acyclicity in the context of graph databases and unions of conjunctive regular path queries with inverse (UC2RPQs). It is known that unions of acyclic C2RPQs can be evaluated efficiently, but it is by no means obvious whether similarly good evaluation properties hold for the class of UC2RPQs that are semantically acyclic. We prove that checking whether a UC2RPQ is semantically acyclic is Expspace-complete and obtain as a corollary that evaluation of semantically acyclic UC2RPQs is fixed-parameter tractable. In addition, our tools yield a strong theory of approximations for UC2RPQs when no equivalent acyclic UC2RPQ exists.

Keywords

Graph databases, acyclicity, Query approximation, Constraint satisfaction problems, Conjunctive regular path queries, Database theory, query approximation, Query evaluation, Acyclicity, conjunctive regular path queries, query evaluation, Conjunctive queries, graph databases, conjunctive queries, constraint satisfaction problems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
Green
bronze