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Declaratively Processing Provenance Metadata

Authors: 

Scott Moore, Harvard University; Ashish Gehani, SRI International

Abstract: 

Systems that gather fine-grained provenance metadata must process and store large amounts of information. Filtering this metadata as it is collected has a number of benefits, including reducing the amount of persistent storage required and simplifying subsequent provenance queries. However, writing these filters in a procedural language is verbose and error prone. We propose a simple declarative language for processing provenance metadata and evaluate it by translating filters implemented in SPADE, an open-source provenance collection platform.

Scott Moore, Harvard University

Ashish Gehani, SRI International

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BibTeX
@inproceedings {180754,
author = {Scott Moore and Ashish Gehani},
title = {Declaratively Processing Provenance Metadata},
booktitle = {5th USENIX Workshop on the Theory and Practice of Provenance (TaPP 13)},
year = {2013},
address = {Lombard, IL},
url = {https://www.usenix.org/conference/tapp13/technical-sessions/presentation/moore},
publisher = {USENIX Association},
month = apr,
}
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