TY - GEN
T1 - A Brief Tour Through Provenance in Scientific Workflows and Databases
AU - Ludäscher, Bertram
N1 - Acknowledgements This work was supported in part by NSF grants ACI-1430508, DBI-f1147273, 1356751g, IIS-1118088, and SMA-1439603. With special thanks to Shawn Bowers, Timothy McPhillips, Manish K. Anand, Víctor Cuevas-Vicenttín, Saumen Dey, Lei Dou, Sven Köhler, Sean Riddle, and Daniel Zinn for fruitful years of collaboration on scientific workflows and database provenance. Also special thanks to Boris Glavic for comments on an earlier draft of this paper and for his collaboration on and implementation of games for why-not provenance.
PY - 2016
Y1 - 2016
N2 - Within computer science, the term provenance has multiple meanings, due to different motivations, perspectives, and assumptions prevalent in the respective communities. This chapter provides a high-level “sightseeing tour” of some of those different notions and uses of provenance in scientific workflows and databases.
AB - Within computer science, the term provenance has multiple meanings, due to different motivations, perspectives, and assumptions prevalent in the respective communities. This chapter provides a high-level “sightseeing tour” of some of those different notions and uses of provenance in scientific workflows and databases.
KW - Lineage
KW - Prospective provenance
KW - Provenance games
KW - Provenance polynomials
KW - Retrospective provenance
KW - Why-not provenance
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U2 - 10.1007/978-3-319-40226-0_7
DO - 10.1007/978-3-319-40226-0_7
M3 - Conference contribution
AN - SCOPUS:85092676422
SN - 9783319402253
T3 - Springer Proceedings in Business and Economics
SP - 103
EP - 126
BT - Building Trust in Information - Perspectives on the Frontiers of Provenance
A2 - Lemieux, Victoria L.
PB - Springer
T2 - Interdisciplinary and multidisciplinary workshop on provenance, 2015
Y2 - 1 May 2015
ER -