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UID:1243-2697@rg-wuerzburg.gi.de
CLASS: PUBLIC
SUMMARY:When Big Data Gets Smart: Use Cases in Text Analytics (in English)
DESCRIPTION:The amount and size of structured and unstructured data sources
  available today are both accelerating at a fast pace. This situation offer
 s exciting opportunities. It enables the work on research topics that used 
 to be almost inconceivable until now and thus to explore the unexplored. Si
 nce its emergence, big data is changing the way scientists and engineers ap
 proach and disrupt a whole variety of industrial, academic and social probl
 ems. The challenges accompanying this development are at least two-fold. On
  the one hand, the management and processing of the big data sources itself
  has to be supported. On the other hand, a problem that may even be more di
 fficult is to identify and ask innovative questions that turn big data into
  smart data. The talk presents uses cases in text analytics to demonstrate 
 how unstructured big data can be used in smart contexts. The covered topics
  range from writing assistance with Netspeak [netspeak.org] over applying A
 I search heuristics for automatic constrained paraphrasing to web query und
 erstanding.
LOCATION:Hochschule für angewandte Wissenschaften (FHWS), Würzburg-Schweinf
 urt
DTSTAMP:20180919T085923Z
DTSTART:20160531T161500Z
DTEND:20160531T171500Z
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