Home > Research > Publications & Outputs > Mining Taverna's semantic web of provenance

Research

Links

Text available via DOI:

Keywords

View graph of relations

Mining Taverna's semantic web of provenance

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Mining Taverna's semantic web of provenance. / Zhao, Jun; Goble, Carole; Stevens, Robert et al.

In: Concurrency and Computation: Practice and Experience, Vol. 20, No. 5, 10.04.2008, p. 463-472.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Zhao, J, Goble, C, Stevens, R & Turi, D 2008, 'Mining Taverna's semantic web of provenance', Concurrency and Computation: Practice and Experience, vol. 20, no. 5, pp. 463-472. https://doi.org/10.1002/cpe.1231

APA

Zhao, J., Goble, C., Stevens, R., & Turi, D. (2008). Mining Taverna's semantic web of provenance. Concurrency and Computation: Practice and Experience, 20(5), 463-472. https://doi.org/10.1002/cpe.1231

Vancouver

Zhao J, Goble C, Stevens R, Turi D. Mining Taverna's semantic web of provenance. Concurrency and Computation: Practice and Experience. 2008 Apr 10;20(5):463-472. doi: 10.1002/cpe.1231

Author

Zhao, Jun ; Goble, Carole ; Stevens, Robert et al. / Mining Taverna's semantic web of provenance. In: Concurrency and Computation: Practice and Experience. 2008 ; Vol. 20, No. 5. pp. 463-472.

Bibtex

@article{9acffd358f5e41a589a3bf665d9796ab,
title = "Mining Taverna's semantic web of provenance",
abstract = "Taverna is a workflow workbench developed as part of the UK's myGrid project. Taverna's provenance model captures both internal provenance locally generated in Taverna and external provenance gathered from third-party data providers. This model also supports overlaying secondary provenance over the primary logs and lineage. This design is motivated by the particular properties of bioinformatics data and services used in Taverna. A Semantic Web of provenance, Ouzo, is built to combine the above different provenance by means of semantic annotations. This paper shows how Ouzo can be mined by a provenance usage component, Provenance Query and Answer (ProQA). ProQA supports provenance retrievals as well as provenance abstraction, aggregation, and semantic reasoning. ProQA is implemented as a suite APIs which can be deployed as provenance services to compose system provenance workflows that analyse experiment results using the provenance records. We show how these features of Taverna's provenance support us in answering the questions from the provenance challenge workshop and a set of additional provenance queries. ",
keywords = "workflow, provenance , semantic annotation",
author = "Jun Zhao and Carole Goble and Robert Stevens and Daniele Turi",
year = "2008",
month = apr,
day = "10",
doi = "10.1002/cpe.1231",
language = "English",
volume = "20",
pages = "463--472",
journal = "Concurrency and Computation Practice and Experience",
issn = "1532-0626",
publisher = "John Wiley and Sons Ltd",
number = "5",

}

RIS

TY - JOUR

T1 - Mining Taverna's semantic web of provenance

AU - Zhao, Jun

AU - Goble, Carole

AU - Stevens, Robert

AU - Turi, Daniele

PY - 2008/4/10

Y1 - 2008/4/10

N2 - Taverna is a workflow workbench developed as part of the UK's myGrid project. Taverna's provenance model captures both internal provenance locally generated in Taverna and external provenance gathered from third-party data providers. This model also supports overlaying secondary provenance over the primary logs and lineage. This design is motivated by the particular properties of bioinformatics data and services used in Taverna. A Semantic Web of provenance, Ouzo, is built to combine the above different provenance by means of semantic annotations. This paper shows how Ouzo can be mined by a provenance usage component, Provenance Query and Answer (ProQA). ProQA supports provenance retrievals as well as provenance abstraction, aggregation, and semantic reasoning. ProQA is implemented as a suite APIs which can be deployed as provenance services to compose system provenance workflows that analyse experiment results using the provenance records. We show how these features of Taverna's provenance support us in answering the questions from the provenance challenge workshop and a set of additional provenance queries.

AB - Taverna is a workflow workbench developed as part of the UK's myGrid project. Taverna's provenance model captures both internal provenance locally generated in Taverna and external provenance gathered from third-party data providers. This model also supports overlaying secondary provenance over the primary logs and lineage. This design is motivated by the particular properties of bioinformatics data and services used in Taverna. A Semantic Web of provenance, Ouzo, is built to combine the above different provenance by means of semantic annotations. This paper shows how Ouzo can be mined by a provenance usage component, Provenance Query and Answer (ProQA). ProQA supports provenance retrievals as well as provenance abstraction, aggregation, and semantic reasoning. ProQA is implemented as a suite APIs which can be deployed as provenance services to compose system provenance workflows that analyse experiment results using the provenance records. We show how these features of Taverna's provenance support us in answering the questions from the provenance challenge workshop and a set of additional provenance queries.

KW - workflow

KW - provenance

KW - semantic annotation

U2 - 10.1002/cpe.1231

DO - 10.1002/cpe.1231

M3 - Journal article

VL - 20

SP - 463

EP - 472

JO - Concurrency and Computation Practice and Experience

JF - Concurrency and Computation Practice and Experience

SN - 1532-0626

IS - 5

ER -