@inproceedings{21472,
author       = {Hildebrand, M. and Hoekstra, R and van Ossenbruggen, J. R.},
title        = {Using {Semantic} {Web} {Technologies} {To} {Reproduce} {A} {Pharmacovigilance} {Case} {Study}},
booktitle    = {Proceedings of International Workshop on Linked Science 2013 (LISC 3)},
conferencetitle    = {International Workshop on Linked Science},
conferencedate     = {2013, October 21},
conferencelocation = {Syndey},
pages        = { - },
year         = {2013},
month        = {October},
refereed     = {y},
size         = {p.},
group        = {IA},
scndgroup    = {INS2},
language     = {en},
abstract     = {We provide a detailed report of a reproduction study of a paper published in
the International Journal of
 Medical Sciences (IJMS). We first use the PROV-O
ontology to model our reconstruction of the computational workflow of
 the
original experiment and to systematically explicate all information that is
needed for an reproduction study. We then
 identify which part of the required
information is published in the IJMS paper and what part is missing. We then
discuss
 our reproduction of this workflow, following the original as much as
possible. Again, we use PROV-O to precisely define
 our version of the
workflow, including our version of the information that was missing in the
IJMS paper of the study.
 Finally, we generalize from the specific cased
described in the original paper by providing a web service that allows mining
for
 arbitrary drug-adverse event pairs},
url          = {http://oai.cwi.nl/oai/asset/21472/21472B.pdf},
}

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