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Building disease and target knowledge with Semantic MediaWiki
Abstract The efficient flow of both formal and taciThe efficient flow 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 flux 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 find 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 find, 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 Pfizer. We describe two use-cases that highlight the flexibility of this software and the ultimate benefit to the user. © 2012 Woodhead Publishing Limited. All rights reserved.d Publishing Limited. All rights reserved.
Abstractsub The efficient flow of both formal and taciThe efficient flow 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 flux 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 find 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 find, 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 Pfizer. We describe two use-cases that highlight the flexibility of this software and the ultimate benefit to the user. © 2012 Woodhead Publishing Limited. All rights reserved.d Publishing Limited. All rights reserved.
Bibtextype inbook  +
Doi 10.1016/B978-1-907568-97-8.50017-5  +
Has author Harland L. + , Marshall C. + , Gardner B. + , Chang M. + , Head R. + , Verdemato P. +
Has keyword Collaboration + , Disease maps + , Drug target + , Knowledge management + , Semantic MediaWiki +
Isbn 9781907568978  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 391–420  +
Published in Open Source Software in Life Science Research: Practical Solutions to Common Challenges in the Pharmaceutical Industry and Beyond +
Title Building disease and target knowledge with Semantic MediaWiki +
Type book chapter  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 7 November 2014 10:20:20  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Book chapters  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 10:20:20  +
DateThis property is a special property in this wiki. 2012  +
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