TY - GEN
T1 - PROX
T2 - 19th International Conference on Extending Database Technology, EDBT 2016
AU - Ainy, Eleanor
AU - Bourhis, Pierre
AU - Davidson, Susan B.
AU - Deutch, Daniel
AU - Milo, Tova
N1 - Publisher Copyright: © 2016, Copyright is with the authors.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Many modern applications involve collecting large amounts of data from multiple sources, and then aggregating and manipulating it in intricate ways. The complexity of such applications, combined with the size of the collected data, makes it difficult to understand the application logic and how information was derived. Data provenance has been proven helpful in this respect in different contexts; however, maintaining and presenting the full and exact provenance may be infeasible, due to its size and complex structure. For that reason, we introduce the notion of approximated summarized provenance, where we seek a compact representation of the provenance at the possible cost of information loss. Based on this notion, we have developed PROX, a system for the management, presentation and use of data provenance for complex applications. We propose to demonstrate PROX in the context of a movies rating crowd-sourcing system, letting participants view provenance summarization and use it to gain insights on the application and its underlying data.
AB - Many modern applications involve collecting large amounts of data from multiple sources, and then aggregating and manipulating it in intricate ways. The complexity of such applications, combined with the size of the collected data, makes it difficult to understand the application logic and how information was derived. Data provenance has been proven helpful in this respect in different contexts; however, maintaining and presenting the full and exact provenance may be infeasible, due to its size and complex structure. For that reason, we introduce the notion of approximated summarized provenance, where we seek a compact representation of the provenance at the possible cost of information loss. Based on this notion, we have developed PROX, a system for the management, presentation and use of data provenance for complex applications. We propose to demonstrate PROX in the context of a movies rating crowd-sourcing system, letting participants view provenance summarization and use it to gain insights on the application and its underlying data.
UR - http://www.scopus.com/inward/record.url?scp=85046696579&partnerID=8YFLogxK
U2 - https://doi.org/10.5441/002/edbt.2016.63
DO - https://doi.org/10.5441/002/edbt.2016.63
M3 - Conference contribution
T3 - Advances in Database Technology - EDBT
SP - 620
EP - 623
BT - Advances in Database Technology - EDBT 2016
A2 - Manolescu, Ioana
A2 - Pitoura, Evaggelia
A2 - Marian, Amelie
A2 - Maabout, Sofian
A2 - Tanca, Letizia
A2 - Koutrika, Georgia
A2 - Stefanidis, Kostas
Y2 - 15 March 2016 through 18 March 2016
ER -