Standard
Knowledge discovery for biology with Taverna. / Goble, Carole; Wolstencroft, Katy; Goderis, Antoon et al.
Semantic web: revolutionizing knowledge discovery in the life sciences. ed. / Christopher J. O. Baker; Kei-Hoi Cheung. New York: Springer, 2007. p. 355-395.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Harvard
Goble, C, Wolstencroft, K, Goderis, A, Hull, D, Zhao, J, Alper, P, Lord, P, Wroe, C, Belhajjame, K, Turi, D & Stevens, R 2007,
Knowledge discovery for biology with Taverna. in CJO Baker & K-H Cheung (eds),
Semantic web: revolutionizing knowledge discovery in the life sciences. Springer, New York, pp. 355-395.
https://doi.org/10.1007/978-0-387-48438-9_17APA
Goble, C., Wolstencroft, K., Goderis, A., Hull, D., Zhao, J., Alper, P., Lord, P., Wroe, C., Belhajjame, K., Turi, D., & Stevens, R. (2007).
Knowledge discovery for biology with Taverna. In C. J. O. Baker, & K-H. Cheung (Eds.),
Semantic web: revolutionizing knowledge discovery in the life sciences (pp. 355-395). Springer.
https://doi.org/10.1007/978-0-387-48438-9_17Vancouver
Goble C, Wolstencroft K, Goderis A, Hull D, Zhao J, Alper P et al.
Knowledge discovery for biology with Taverna. In Baker CJO, Cheung K-H, editors, Semantic web: revolutionizing knowledge discovery in the life sciences. New York: Springer. 2007. p. 355-395 doi: 10.1007/978-0-387-48438-9_17
Author
Goble, Carole ; Wolstencroft, Katy ; Goderis, Antoon et al. /
Knowledge discovery for biology with Taverna. Semantic web: revolutionizing knowledge discovery in the life sciences. editor / Christopher J. O. Baker ; Kei-Hoi Cheung. New York : Springer, 2007. pp. 355-395
Bibtex
@inbook{81dd1849901446e6b63908fe7b6aade2,
title = "Knowledge discovery for biology with Taverna",
abstract = "Life Science research has extended beyond in vivo and in vitro bench-bound science to incorporate in silico knowledge discovery, using resources that have been developed over time by different teams for different purposes and in different forms. The myGrid project has developed a set of software components and a workbench, Taverna, for building, running and sharing workflows that link third party bioinformatics services, such as databases, analytic tools and applications. Intelligently discovering prior services, workflow or data is aided by a Semantic Web of annotations, as is the building of the workflows themselves. Metadata associated with the workflow experiments, the provenance of the data outcomes and the record of the experimental process need to be flexible and extensible. Semantic Web metadata technologies would seem to be well-suited to building a Semantic Web of provenance. We have the potential to integrate and aggregate workflow outcomes, and reason over provenance logs to identify new experimental insights, and to build and export a Semantic Web of experiments that contributes to Knowledge Discovery for Taverna users and for the scientific community as a whole.",
keywords = "workflow, in silico, services, Web Services, Semantic Web, Taverna, discovery, publication, provennance, metadata, annotation, LSID, ontology, myGrid, experiment Web, e-Science",
author = "Carole Goble and Katy Wolstencroft and Antoon Goderis and Duncan Hull and Jun Zhao and Pinar Alper and Phillip Lord and Chris Wroe and Khalid Belhajjame and Daniele Turi and Robert Stevens",
year = "2007",
doi = "10.1007/978-0-387-48438-9_17",
language = "English",
isbn = "9780387484365",
pages = "355--395",
editor = "Baker, {Christopher J. O.} and Kei-Hoi Cheung",
booktitle = "Semantic web",
publisher = "Springer",
}
RIS
TY - CHAP
T1 - Knowledge discovery for biology with Taverna
AU - Goble, Carole
AU - Wolstencroft, Katy
AU - Goderis, Antoon
AU - Hull, Duncan
AU - Zhao, Jun
AU - Alper, Pinar
AU - Lord, Phillip
AU - Wroe, Chris
AU - Belhajjame, Khalid
AU - Turi, Daniele
AU - Stevens, Robert
PY - 2007
Y1 - 2007
N2 - Life Science research has extended beyond in vivo and in vitro bench-bound science to incorporate in silico knowledge discovery, using resources that have been developed over time by different teams for different purposes and in different forms. The myGrid project has developed a set of software components and a workbench, Taverna, for building, running and sharing workflows that link third party bioinformatics services, such as databases, analytic tools and applications. Intelligently discovering prior services, workflow or data is aided by a Semantic Web of annotations, as is the building of the workflows themselves. Metadata associated with the workflow experiments, the provenance of the data outcomes and the record of the experimental process need to be flexible and extensible. Semantic Web metadata technologies would seem to be well-suited to building a Semantic Web of provenance. We have the potential to integrate and aggregate workflow outcomes, and reason over provenance logs to identify new experimental insights, and to build and export a Semantic Web of experiments that contributes to Knowledge Discovery for Taverna users and for the scientific community as a whole.
AB - Life Science research has extended beyond in vivo and in vitro bench-bound science to incorporate in silico knowledge discovery, using resources that have been developed over time by different teams for different purposes and in different forms. The myGrid project has developed a set of software components and a workbench, Taverna, for building, running and sharing workflows that link third party bioinformatics services, such as databases, analytic tools and applications. Intelligently discovering prior services, workflow or data is aided by a Semantic Web of annotations, as is the building of the workflows themselves. Metadata associated with the workflow experiments, the provenance of the data outcomes and the record of the experimental process need to be flexible and extensible. Semantic Web metadata technologies would seem to be well-suited to building a Semantic Web of provenance. We have the potential to integrate and aggregate workflow outcomes, and reason over provenance logs to identify new experimental insights, and to build and export a Semantic Web of experiments that contributes to Knowledge Discovery for Taverna users and for the scientific community as a whole.
KW - workflow
KW - in silico
KW - services
KW - Web Services
KW - Semantic Web
KW - Taverna
KW - discovery
KW - publication
KW - provennance
KW - metadata
KW - annotation
KW - LSID
KW - ontology
KW - myGrid
KW - experiment Web
KW - e-Science
U2 - 10.1007/978-0-387-48438-9_17
DO - 10.1007/978-0-387-48438-9_17
M3 - Chapter
SN - 9780387484365
SP - 355
EP - 395
BT - Semantic web
A2 - Baker, Christopher J. O.
A2 - Cheung, Kei-Hoi
PB - Springer
CY - New York
ER -
