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PPDP
2010
Springer

Graph queries through datalog optimizations

11 years 6 months ago
Graph queries through datalog optimizations
This paperdescribes the use of a powerful graph query language for querying programs, and a novel combination of transformations for generating efficient implementations of the queries. The language supports graph path expressions that allow convenient use of both vertices and edges of arbitrary kinds as well as additional global and local parameters in graph paths. Our implementation method combines transformation to Datalog, recursion conversion, demand transformation, and specialization, and finally generates efficient analysis programs with precise complexity guarantees. This combination improves an O(V E) time complexity factor using previous methods to O(E), where V and E are the numbers of graph vertices and edges, respectively. We also describe implementations and experiments that confirm the analyzed complexities. Categories and Subject Descriptors D.3.2 [Programming Languages]: Language Classifications—Constraint and logic languages, Very high level languages; D.3.3 [...
K. Tuncay Tekle, Michael Gorbovitski, Yanhong A. L
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where PPDP
Authors K. Tuncay Tekle, Michael Gorbovitski, Yanhong A. Liu
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