TY - CONF
T1 - Approximated provenance for complex applications
AU - Ainy, Eleanor
AU - Davidson, Susan B.
AU - Milo, Tova
AU - Deutch, Daniel
N1 - Funding Information:
Acknowledgments This research was partially supported by the
Funding Information:
This research was partially supported by the European Research Council under the European Community 7th Framework Programme (FP7/2007-2013) / ERC grant MoDaS, grant agreement 291071, by the Israeli Ministry of Science, the Israeli Science Foundation (ISF), by the US-Israel Binational Science Foundation (BSF), the Broadcom Foundation and Tel Aviv University Authentication Initiative.
Publisher Copyright:
© 6th Workshop on the Theory and Practice of Provenance, TaPP 2014. All rights reserved.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Many applications now involve the collection of large amounts of data from multiple users, 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 how information was derived, and consequently difficult to asses its credibility, to optimize and debug its derivation, etc. Provenance has been helpful in achieving such goals in different contexts, and we illustrate its potential for novel complex applications such as those performing crowd-sourcing. Maintaining (and presenting) the full and exact provenance information may be infeasible for such applications, due to the size of the provenance and its complex structure. We propose some initial directions towards addressing this challenge, through the notion of approximated provenance.
AB - Many applications now involve the collection of large amounts of data from multiple users, 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 how information was derived, and consequently difficult to asses its credibility, to optimize and debug its derivation, etc. Provenance has been helpful in achieving such goals in different contexts, and we illustrate its potential for novel complex applications such as those performing crowd-sourcing. Maintaining (and presenting) the full and exact provenance information may be infeasible for such applications, due to the size of the provenance and its complex structure. We propose some initial directions towards addressing this challenge, through the notion of approximated provenance.
UR - http://www.scopus.com/inward/record.url?scp=85091937621&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85091937621
T2 - 6th Workshop on the Theory and Practice of Provenance, TaPP 2014
Y2 - 12 June 2014 through 13 June 2014
ER -