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Date

22. 1.2018 11:33:49

Source

https://www.heise.de/tp/features/Von-Big-Data-zu-Big-Brother-3946125.html?view=print

Theme

Data Mining

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Abstract

In the future, frontier research in many fields will increasingly require the collaboration of globally distributed groups of researchers needing access to distributed computing, data resources and support for remote access to expensive, multi-national specialized facilities such as telescopes and accelerators or specialist data archives. There is also a general belief that an important road to innovation will be provided by multi-disciplinary and collaborative research - from bio-informatics and earth systems science to social science and archaeology. There will also be an explosion in the amount of research data collected in the next decade - 100's of Terabytes will be common in many fields. These future research requirements constitute the 'eResearch' agenda. Powerful software services will be widely deployed on top of the academic research networks to form the necessary 'Cyberinfrastructure' to provide a collaborative research environment for the global academic community. The difficulties in combining data and information from distributed sources, the multi-disciplinary nature of research and collaboration, and the need to move to present researchers with tooling that enable them to express what they want to do rather than how to do it highlight the need for an ecosystem of Semantic Computing technologies. Such technologies will further facilitate information sharing and discovery, will enable reasoning over information, and will allow us to start thinking about knowledge and how it can be handled by computers. This talk will review the elements of this vision and explain the need for semantic-oriented computing by exploring eResearch projects that have successfully applied relevant technologies. It will also suggest that a software + service model with scientific services delivered from the cloud will become an increasingly accepted model for research.

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Abstract

Digital information and the increasing amount and availability of its basis, data, is changing scholarship to a more or less dramatic extent. New areas of research and knowledge have been created by machine-produced data, calculations, and simulations in various academic disciplines. However, no adequate infrastructure for digital information has emerged yet. Whereas in the field of scientific information providers (libraries, document centers, publishers etc.) new services, arrangements and business models are being experimented, the scholarly disciplines are, by and large, lagging behind these developments, as are most scientific work practices. To sum up: An information infrastructure of scholarly information has been developed, but not one for scholarly information, yet. What this means, and some ideas of what could be done about it, shall be discussed in the talk.

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Date

22. 6.2018 13:47:33