Knowledge Discovery for Biology with Taverna Export

@incollection{kdtaverna, 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.}, author = {Goble, Carole and Wolstencroft, Katy and Goderis, Antoon and Hull, Duncan and Zhao, Jun and Alper, Pinar and Lord, Phillip and Wroe, Chris and Belhajjame, Khalid and Turi, Daniele and Stevens, Robert and Oinn, Tom and De Roure, David}, citeulike-article-id = {1789296}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-0-387-48438-9_17}, doi = {10.1007/978-0-387-48438-9_17}, journal = {Semantic Web}, keywords = {duncan-hull, semantic-web, taverna}, pages = {355--395}, posted-at = {2007-11-08 11:58:29}, priority = {0}, title = {Knowledge Discovery for Biology with Taverna}, url = {http://dx.doi.org/10.1007/978-0-387-48438-9_17}, year = {2007} }

TY - CHAP ID - kdtaverna L3 - citeulike-article-id:1789296 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. JF - Semantic Web EP - 395 TI - Knowledge Discovery for Biology with Taverna SP - 355 KW - duncan-hull KW - semantic-web KW - 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 AU - Oinn, Tom AU - De Roure, David PY - 2007/// UR - http://dx.doi.org/10.1007/978-0-387-48438-9_17 ER -