A Provenance Tracking Model for Data Updates
Abstract
For data-centric systems, provenance tracking is particularly important when the system is open and decentralised, such as the Web of Linked Data. In this paper, a concise but expressive calculus which models data updates is presented. The calculus is used to provide an operational semantics for a system where data and updates interact concurrently. The operational semantics of the calculus also tracks the provenance of data with respect to updates. This provides a new formal semantics extending provenance diagrams which takes into account the execution of processes in a concurrent setting. Moreover, a sound and complete model for the calculus based on ideals of series-parallel DAGs is provided. The notion of provenance introduced can be used as a subjective indicator of the quality of data in concurrent interacting systems.
Cite
@article{arxiv.1208.4634,
title = {A Provenance Tracking Model for Data Updates},
author = {Gabriel Ciobanu and Ross Horne},
journal= {arXiv preprint arXiv:1208.4634},
year = {2012}
}
Comments
In Proceedings FOCLASA 2012, arXiv:1208.4327