Biomedical Engineering Reference
In-Depth Information
17
Building disease and target
knowledge with Semantic MediaWiki
Lee Harland, Catherine Marshall,
Ben Gardner, Meiping Chang, Rich Head
and Philip Verdemato
Abstract:
The effi cient fl ow of both formal and tacit knowledge is
critical in the new era of information-powered pharmaceutical
discovery. Yet, one of the major inhibitors of this is the constant fl ux
within the industry, driven by rapidly evolving business models,
mergers and collaborations. A continued stream of new employees
and external partners brings a need to not only manage the new
information they generate, but to fi nd and exploit existing company
results and reports. The ability to synthesise this vast information
'substrate' into actionable intelligence is crucial to industry
productivity. In parallel, the new 'digital biology' era provides yet
more and more data to fi nd, analyse and exploit. In this chapter we
look at the contribution that Semantic MediaWiki (SMW)
technology has made to meeting the information challenges faced by
Pfi zer. We describe two use-cases that highlight the fl exibility of this
software and the ultimate benefi t to the user.
Key words:
Semantic MediaWiki; drug target; knowledge
management; collaboration; disease maps.
17.1 The Targetpedia
Although many debate the relative merits of target-driven drug discovery
[1], drug targets themselves remain a crucial pillar of pharmaceutical
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