A Linked Data Approach to Sharing Workflows and Workflow Results
A Linked Data Approach to Sharing Workflows and Workflow Results
A bioinformatics analysis pipeline is often highly elaborate, due to the inherent complexity of biological systems and the variety and size of datasets. A digital equivalent of the ‘Materials and Methods’ section in wet laboratory publications would be highly beneficial to bioinformatics, for evaluating evidence and examining data across related experiments, while introducing the potential to find associated resources and integrate them as data and services. We present initial steps towards preserving bioinformatics ‘materials and methods’ by exploiting the workflow paradigm for capturing the design of a data analysis pipeline, and RDF to link the workflow, its component services, run-time provenance, and a personalized biological interpretation of the results. An example shows the reproduction of the unique graph of an analysis procedure, its results, provenance, and personal interpretation of a text mining experiment. It links data from Taverna, myExperiment.org, BioCatalogue.org, and ConceptWiki.org. The approach is relatively ‘light-weight’ and unobtrusive to bioinformatics users.
340-354
Roos, Marco
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Bechhofer, Sean
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Zhao, Jun
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Missier, Paolo
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Newman, David
eb21ecdd-5ad0-49ec-9dd0-5bf98dc0c6f9
De Roure, David
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Marshall, M. Scott
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October 2010
Roos, Marco
531dacd7-98e7-4df0-b9cc-498ed4c53b2e
Bechhofer, Sean
67752347-1cb9-417f-937b-57923052c122
Zhao, Jun
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Missier, Paolo
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Newman, David
eb21ecdd-5ad0-49ec-9dd0-5bf98dc0c6f9
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Marshall, M. Scott
7f9f3c70-4e03-4e85-9cb8-635a98a87bcc
Roos, Marco, Bechhofer, Sean, Zhao, Jun, Missier, Paolo, Newman, David, De Roure, David and Marshall, M. Scott
(2010)
A Linked Data Approach to Sharing Workflows and Workflow Results.
Lecture Notes in Computer Science, 6415, .
Abstract
A bioinformatics analysis pipeline is often highly elaborate, due to the inherent complexity of biological systems and the variety and size of datasets. A digital equivalent of the ‘Materials and Methods’ section in wet laboratory publications would be highly beneficial to bioinformatics, for evaluating evidence and examining data across related experiments, while introducing the potential to find associated resources and integrate them as data and services. We present initial steps towards preserving bioinformatics ‘materials and methods’ by exploiting the workflow paradigm for capturing the design of a data analysis pipeline, and RDF to link the workflow, its component services, run-time provenance, and a personalized biological interpretation of the results. An example shows the reproduction of the unique graph of an analysis procedure, its results, provenance, and personal interpretation of a text mining experiment. It links data from Taverna, myExperiment.org, BioCatalogue.org, and ConceptWiki.org. The approach is relatively ‘light-weight’ and unobtrusive to bioinformatics users.
Text
DigitalMaterialsAndMethods_TavernaMyExpBioCatCW_AIDA_revised.pdf
- Accepted Manuscript
More information
Published date: October 2010
Additional Information:
ISBN 978-3-642-16557-3
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 271749
URI: http://eprints.soton.ac.uk/id/eprint/271749
ISSN: 0302-9743
PURE UUID: c3b4f74c-d906-4b91-accc-9edad16f4abc
Catalogue record
Date deposited: 03 Dec 2010 11:06
Last modified: 15 Mar 2024 03:26
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Contributors
Author:
Marco Roos
Author:
Sean Bechhofer
Author:
Jun Zhao
Author:
Paolo Missier
Author:
David Newman
Author:
David De Roure
Author:
M. Scott Marshall
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