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From Science 2.0 to Pharma 3.0 : Semantic Search and Social Media in the Pharmaceutical Industry and STM Publishing epub

From Science 2.0 to Pharma 3.0 : Semantic Search and Social Media in the Pharmaceutical Industry and STM Publishing epub

From Science 2.0 to Pharma 3.0 : Semantic Search and Social Media in the Pharmaceutical Industry and STM Publishing by Denise Silber

From Science 2.0 to Pharma 3.0 : Semantic Search and Social Media in the Pharmaceutical Industry and STM Publishing
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Author: Denise Silber
Number of Pages: 286 pages
Published Date: 24 Sep 2012
Publisher: ELSEVIER SCIENCE & TECHNOLOGY
Publication Country: Oxford, United Kingdom
Language: English
ISBN: 9781843347095
File size: 14 Mb
Download Link: From Science 2.0 to Pharma 3.0 Semantic Search and Social Media in the Pharmaceutical Industry and STM Publishing
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Science 2.0 uses the resources of Web 2.0 to communicate between scientists, and with the general public. Web 3.0, in turn, has brought disruptive technologies such as semantic search, cloud computing and mobile applications into play. The term Pharma 3.0 anticipates the future relationship between drug makers and doctors with their patients in light of such technology. From Science 2.0 to Pharma 3.0 examines these developments, discussing the best and worst of Web 2.0 in science communication and health. Successes such as the Open Access phenomena and also less successful networks are covered. This title is divided into three parts. The first part considers the Web 2.0 revolution, and the promise of its impact on science communication and the state of Science 2.0. The second part looks at impact on Pharma and Health, including attempts to utilise digital in Pharma. The last part looks at the promising disruptive technologies of Web 3.0, including semantic search in biomedicine and enterprise platforms. The book concludes by looking forward to developments of '3.0' in Pharma and STM publishing. * Gives a global overview of success and failure in Science 2.0 * Presents useful stories and lessons learned* Gives a clear view of how semantic search is present in science platforms and its potential in STM publishing

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