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Description

The Semantic Biomedical Tagger (SBT) has a built-in capability to recognize 133 biomedical entity types and semantically link them to the knowledge base systems

The driving force behind everything we do is to put enterprises back in control of their knowledge assets and to help them run, grow and evolve their business efficiently. By transforming the way organizations identify meaning across diverse datasets and massive amounts of unstructured information, we help them see a much bigger picture. We make this possible because we know how to combine semantic graph databases with text mining and machine learning. This brings data and content together in big knowledge graphs to allow better interlinking, interpreting, analyzing and reuse.

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