Semiring Provenance over Graph Databases

Authors: 

Yann Ramusat, ENS, PSL University; Silviu Maniu, LRI, Université Paris-Sud, Université Paris-Saclay; Pierre Senellart, DI ENS, ENS, CNRS, PSL University & Inria Paris & LTCI, Télécom ParisTech

Abstract: 

We generalize three existing graph algorithms to compute the provenance of regular path queries over graph databases, in the framework of provenance semirings – algebraic structures that can capture different forms of provenance. Each algorithm yields a different trade-off between time complexity and generality, as each requires different properties over the semiring. Together, these algorithms cover a large class of semirings used for provenance (top-k, security, etc.). Experimental results suggest these approaches are complementary and practical for various kinds of provenance indications, even on a relatively large transport network.

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BibTeX
@inproceedings {220323,
author = {Yann Ramusat and Silviu Maniu and Pierre Senellart},
title = {Semiring Provenance over Graph Databases},
booktitle = {10th {USENIX} Workshop on the Theory and Practice of Provenance (TaPP 2018)},
year = {2018},
address = {London},
url = {https://www.usenix.org/conference/tapp2018/presentation/ramusat},
publisher = {{USENIX} Association},
}