Issues in Building Practical Provenance Systems. Chapman, A, Jagadish, & V, H IEEE Data Engineering Bulletin, 30:38--43, 2007. Paper abstract bibtex Knowing the origin of data (i.e., where the data was copied or created from)—its provenance—is vital for assessing the trustworthiness of contemporary scientific databases such as UniProt [16] and SWISS- PROT [14]. Unfortunately, provenance information must currently be recorded manually, by added effort of the database maintainer. Since such maintenance is tedious and error-prone, it is desirable to provide support for recording provenance in the database system itself. We review a recent proposal for incorporating such support, as well as its theoretical properties.
@article{ DBLP:journals/debu/ChapmanJ07,
author = {Chapman, A and Jagadish, H V},
title = {{Issues in Building Practical Provenance Systems}},
journal = {IEEE Data Engineering Bulletin},
year = {2007},
volume = {30},
pages = {38--43},
abstract = {Knowing the origin of data (i.e., where the data was copied or created
from)—its provenance—is vital for assessing the trustworthiness
of contemporary scientific databases such as UniProt [16] and SWISS-
PROT [14]. Unfortunately, provenance information must currently be
recorded manually, by added effort of the database maintainer. Since
such maintenance is tedious and error-prone, it is desirable to provide
support for recording provenance in the database system itself. We
review a recent proposal for incorporating such support, as well
as its theoretical properties.},
keywords = {#management,#provenance},
mendeley-tags = {#management,#provenance},
url = {http://sites.computer.org/debull/A07dec/chapman.pdf http://dblp.uni-trier.de/db/journals/debu/debu30.html#ChapmanJ07}
}
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