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research article

Generalized Hypertree Decompositions: NP-hardness and Tractable Variants

Gottlob, Georg
•
Miklos, Zoltan
•
Schwentick, Thomas
2009
Journal of the ACM

The generalized hypertree width GHW(H) of a hypergraph H is a measure of its cyclicity. Classes of conjunctive queries or constraint satisfaction problems whose associated hypergraphs have bounded GHW are known to be solvable in polynomial time. However, it has been an open problem for several years if for a fixed constant k and input hypergraph H it can be determined in polynomial time whether GHW(H) ≤ k. Here, this problem is settled by proving that even for k = 3 the problem is already NP-hard. On the way to this result, another long standing open problem, originally raised by Goodman and Shmueli [1984] in the context of join optimization is solved. It is proven that determining whether a hypergraph H admits a tree projection with respect to a hypergraph G is NP-complete. Our intractability results on generalized hypertree width motivate further research on more restrictive tractable hypergraph decomposition methods that approximate generalized hypertree decomposition (GHD). We show that each such method is dominated by a tractable decomposition method definable through a function that associates a set of partial edges to a hypergraph. By using one particular such function, we define the new Component Hypertree Decomposition method, which is tractable and strictly more general than other approximations to GHD published so far.

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Type
research article
DOI
10.1145/1568318.1568320
Web of Science ID

WOS:000272040200001

Author(s)
Gottlob, Georg
Miklos, Zoltan
Schwentick, Thomas
Date Issued

2009

Published in
Journal of the ACM
Volume

56

Issue

6

Start page

1

Subjects

conjunctive query

•

database

•

tree projection

•

NP-hard

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSIR  
Available on Infoscience
September 21, 2009
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/42750
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