توضیحات
ABSTRACT
Twenty-five Semantic Web and Database researchers met at the 2011 STI Semantic Summit in Riga, Latvi July 6-8, 2011[1] to discuss the opportunities and challenges posed by Big Data for the Semantic Web,Semantic Technologies, and Database communities.The unanimous conclusion was that the greatest shared challenge was not only engineering Big Data,but also doing so meaningfully. The following are four expressions of that challenge from different perspectives
Michael’s Challenge:Big Data Integration is Multi-disciplinary
The exploding world of Big Data poses, more than ever, two challenge classes: engineering – efficiently
managing data at unimaginable scale; and semantics– finding and meaningfully combining information that is relevant to your concern. Without the meaningful use of data, data engineering is just a bunch of cool tricks. Since every computer science discipline and every application domain has a vested interest, Big Data becomes a use case for multidisciplinary problem solving[2]. The challenge posed here is of the meaningful use of Big Data regardless
of the implementation technology or the application domain
Emerging data-driven approaches in the US Healthcare Big Data World[3] involves over 50 million patient databases distributed US-wide for which the US Government defines Meaningful Use and the medical community has identified challenges[4] across queries such as: “For every 54-year-old white, female high school dropout with a baseline
blood pressure of 150 over 80 in the beta blocker group who had these two concurrent conditions and
took these three mediations
Year : 2011
Publisher : SIGMOD
By : Christian Bizer, Peter Boncz, Michael L. Brodie, Orri Erling
File Information : English Language / 5 Page / Size : 186 K
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سال : 2011
ناشر : SIGMOD
کاری از : Christian Bizer, Peter Boncz, Michael L. Brodie, Orri Erling
اطلاعات فایل : زبان انگلیسی / 5صفحه / حجم : 186 K
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