Abstract
With the ongoing rapid increase in both volume and diversity of 'omic'
data (genomics, transcriptomics, proteomics, and others), the development
and adoption of data standards is of paramount importance to realize
the promise of systems biology. A recent trend in data standard development
has been to use extensible markup language (XML) as the preferred
mechanism to define data representations. But as illustrated here
with a few examples from proteomics data, the syntactic and document-centric
XML cannot achieve the level of interoperability required by the
highly dynamic and integrated bioinformatics applications. In the
present article, we discuss why semantic web technologies, as recommended
by the World Wide Web consortium (W3C), expand current data standard
technology for biological data representation and management.
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