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Making Sense of Fuzzy Biomedical Knowledge

Talk, was published by Mara Hartsperger and Volker Stümpflen at 2011-01-24

We present scalable technologies capable to interpret fuzzy information (literature) and combine them with structured data in a uniform semantic way.

Millions of scientific publications still bury high-level knowledge essential for the understanding of complex diseases like Diabetes or Alzheimer. Today it is fairly simple to generate, with high-throughput experiments, GB of data per day. But reading 30.000 Alzheimer related publications for the interpretation of the data is impossible for humans. We present scalable technologies capable to interpret fuzzy information (literature) and combine them with structured data in a uniform semantic way.

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