Linked data and provenance in biological data webs

Zhao, Jun and Miles, Alistair and Klyne, Graham and Shotton, David (2009) Linked data and provenance in biological data webs. Briefings in Bioinformatics, 10 (2). pp. 139-152. ISSN 1467-5463

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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.

Item Type:
Journal Article
Journal or Publication Title:
Briefings in Bioinformatics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1710
Subjects:
ID Code:
66310
Deposited By:
Deposited On:
17 Sep 2013 08:04
Refereed?:
Yes
Published?:
Published
Last Modified:
03 Nov 2020 02:49