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Linked data and provenance in biological data webs

Research output: Contribution to Journal/MagazineJournal articlepeer-review

  • Jun Zhao
  • Alistair Miles
  • Graham Klyne
  • David Shotton
<mark>Journal publication date</mark>1/03/2009
<mark>Journal</mark>Briefings in Bioinformatics
Issue number2
Number of pages14
Pages (from-to)139-152
Publication StatusPublished
<mark>Original language</mark>English


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.