From Science 2.0 to Pharma 3.0: Semantic Search and Social Media in the Pharmaceutical industry and STM PublishingElsevier, 10.09.2012 - 286 Seiten 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.
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From Science 2.0 to Pharma 3.0: Semantic Search and Social Media in the ... Hervé Basset,David Stuart,Denise Silber Keine Leseprobe verfügbar - 2012 |
Häufige Begriffe und Wortgruppen
2.0 services accessed 21 March accessed 9 April adoption applications apps AstraZeneca Available Basset big data big pharma big STM blog Boehringer business models cent channels citizen science cloud computing collaboration collective intelligence consumers created customers database December documents downloaded drug makers DTC advertising eBooks Elsevier employees engage Enterprise 2.0 example Facebook Google GoPubMed harnessing collective intelligence healthcare professionals HTML5 ibid iHealthBeat impact increasingly industry’s innovation integrated interaction Internet iPhone journals linked data LinkedIn metadata Microsoft mobile Novartis November O’Reilly organizations patient communities Pfizer pharma companies pharma industry pharmaceutical companies pharmaceutical industry physicians platforms potential PubMed Sanofi Science 2.0 scientists search engine search interfaces semantic interfaces semantic search semantic technologies Semantic Web Senak SharePoint sharing Sian Harris smartphone social media social network sites STM publishers traditional Twitter users Wikipedia wikis YouTube