Issues in Building Practical Provenance Systems. Chapman, A. & Jagadish, H V 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 = {Adriane Chapman and H V Jagadish},
title = {Issues in Building Practical Provenance Systems},
journal = {IEEE Data Engineering Bulletin},
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.},
pages = {38--43},
volume = {30},
url = {http://sites.computer.org/debull/A07dec/chapman.pdf http://dblp.uni-trier.de/db/journals/debu/debu30.html\#ChapmanJ07} ,
year = {2007}
}
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