Journal Article

Linked data and provenance in biological data webs

Jun Zhao, Alistair Miles, Graham Klyne and David Shotton

in Briefings in Bioinformatics

Volume 10, issue 2, pages 139-152
Published in print March 2009 | ISSN: 1467-5463
Published online December 2008 | e-ISSN: 1477-4054 | DOI: http://dx.doi.org/10.1093/bib/bbn044
Linked data and provenance in biological data webs

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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

Journal Article.  5729 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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