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2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW) (2015)
Seoul, South Korea
April 13, 2015 to April 17, 2015
ISBN: 978-1-4799-8442-8
pp: 68-70
Daniel Deutch , Computer Science Department, Tel Aviv University, Israel
Amir Gilad , Computer Science Department, Tel Aviv University, Israel
Yuval Moskovitch , Computer Science Department, Tel Aviv University, Israel
ABSTRACT
The annotation of data with meta-data, and its propagation through data-intensive computation in a way that follows the transformations that the data undergoes (“how-provenance”), has many applications, including explanation of the computation results, assessing their trustworthiness and proving their correctness, evaluation in presence of incomplete or probabilistic information, view maintenance, etc. As data gets bigger, its transformations become more complex, and both are being relegated to the cloud, the role of provenance in these applications is even more crucial. But at the same time, the overhead incurred due to provenance computation, in terms of time, space and communication, may limit the scalability of how-provenance management systems. We envision an approach for addressing this complex problem, through allowing selective tracking of how-provenance, where the selection criteria are partly based on the meta-data itself. We illustrate use-cases in the web context, and highlight some challenges in this respect.
INDEX TERMS
Context, Algebra, Access control, Aggregates, Distributed databases, Privacy
CITATION

D. Deutch, A. Gilad and Y. Moskovitch, "Towards web-scale how-provenance," 2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW), Seoul, South Korea, 2015, pp. 68-70.
doi:10.1109/ICDEW.2015.7129547
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