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Linked data and provenance in biological data webs

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Linked data and provenance in biological data webs. / Zhao, Jun; Miles, Alistair; Klyne, Graham et al.
In: Briefings in Bioinformatics, Vol. 10, No. 2, 01.03.2009, p. 139-152.

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

Harvard

Zhao, J, Miles, A, Klyne, G & Shotton, D 2009, 'Linked data and provenance in biological data webs', Briefings in Bioinformatics, vol. 10, no. 2, pp. 139-152. https://doi.org/10.1093/bib/bbn044

APA

Zhao, J., Miles, A., Klyne, G., & Shotton, D. (2009). Linked data and provenance in biological data webs. Briefings in Bioinformatics, 10(2), 139-152. https://doi.org/10.1093/bib/bbn044

Vancouver

Zhao J, Miles A, Klyne G, Shotton D. Linked data and provenance in biological data webs. Briefings in Bioinformatics. 2009 Mar 1;10(2):139-152. doi: 10.1093/bib/bbn044

Author

Zhao, Jun ; Miles, Alistair ; Klyne, Graham et al. / Linked data and provenance in biological data webs. In: Briefings in Bioinformatics. 2009 ; Vol. 10, No. 2. pp. 139-152.

Bibtex

@article{294318f49a6844f582e94d8e1d929f70,
title = "Linked data and provenance in biological data webs",
abstract = "The Web is now being used as a platform for publishing and linking life science data. The Web's linking architecture can be exploited to join heterogeneous data from multiple sources. However, as data are frequently being updated in a decentralized environment, provenance information becomes critical to providing reliable and trustworthy services to scientists. This article presents design patterns for representing and querying provenance information relating to mapping links between heterogeneous data from sources in the domain of functional genomics. We illustrate the use of named resource description framework (RDF) graphs at different levels of granularity to make provenance assertions about linked data, and demonstrate that these assertions are sufficient to support requirements including data currency, integrity, evidential support and historical queries.",
keywords = "linked data, provenance, trust, named graphs, semantic web",
author = "Jun Zhao and Alistair Miles and Graham Klyne and David Shotton",
year = "2009",
month = mar,
day = "1",
doi = "10.1093/bib/bbn044",
language = "English",
volume = "10",
pages = "139--152",
journal = "Briefings in Bioinformatics",
issn = "1467-5463",
publisher = "Oxford University Press",
number = "2",

}

RIS

TY - JOUR

T1 - Linked data and provenance in biological data webs

AU - Zhao, Jun

AU - Miles, Alistair

AU - Klyne, Graham

AU - Shotton, David

PY - 2009/3/1

Y1 - 2009/3/1

N2 - The Web is now being used as a platform for publishing and linking life science data. The Web's linking architecture can be exploited to join heterogeneous data from multiple sources. However, as data are frequently being updated in a decentralized environment, provenance information becomes critical to providing reliable and trustworthy services to scientists. This article presents design patterns for representing and querying provenance information relating to mapping links between heterogeneous data from sources in the domain of functional genomics. We illustrate the use of named resource description framework (RDF) graphs at different levels of granularity to make provenance assertions about linked data, and demonstrate that these assertions are sufficient to support requirements including data currency, integrity, evidential support and historical queries.

AB - The Web is now being used as a platform for publishing and linking life science data. The Web's linking architecture can be exploited to join heterogeneous data from multiple sources. However, as data are frequently being updated in a decentralized environment, provenance information becomes critical to providing reliable and trustworthy services to scientists. This article presents design patterns for representing and querying provenance information relating to mapping links between heterogeneous data from sources in the domain of functional genomics. We illustrate the use of named resource description framework (RDF) graphs at different levels of granularity to make provenance assertions about linked data, and demonstrate that these assertions are sufficient to support requirements including data currency, integrity, evidential support and historical queries.

KW - linked data

KW - provenance

KW - trust

KW - named graphs

KW - semantic web

UR - http://www.scopus.com/inward/record.url?scp=63349098742&partnerID=8YFLogxK

U2 - 10.1093/bib/bbn044

DO - 10.1093/bib/bbn044

M3 - Journal article

VL - 10

SP - 139

EP - 152

JO - Briefings in Bioinformatics

JF - Briefings in Bioinformatics

SN - 1467-5463

IS - 2

ER -