| Abstract
|
The Web is now being used as a platform fo … 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. evidential support and historical queries.
|
| Author
|
Jun Zhao +,
Alistair Miles +,
Graham Klyne +,
David M. Shotton +
|
| Bibtype
|
article +
|
| Booktitle
|
Briefings in Bioinformatics +
|
| Doi
|
http://dx.doi.org/10.1093/bib/bbn044 +
|
| Key
|
DBLP:journals/bib/ZhaoMKS09 +
|
| Modification dateThis property is a special property in this wiki.
|
7 December 2009 15:31:43 +
|
| Number
|
2 +
|
| Pages
|
139-152 +
|
| Source
|
http://dblp.uni-trier.de/rec/bibtex/journals/bib/ZhaoMKS09 +
|
| Tag
|
Provenance +,
Semantic web +,
Computer science +
|
| Title
|
Linked data and provenance in biological data webs +
|
| Volume
|
10 +
|
| Year
|
2009 +
|
| Categories |
Journal Paper,
Publication
|
