SBSGRID in Life Sciences

Digital Inference as a Key Ingredient for Reactive, Contextual Information Linking and Processing

Pharma and Life Sciences have an unusually high barrier to entry for effective and timely data integration due to the complex, changing and interrelated nature of scientific data and applications. This is the reason why this industry is at the fore front of using semantic technologies. The SBSGRID engine provides 3 critical components for systems in these scenarios:

1. Dynamic Ontology (s. FAQ)
2. Instant Contextual Query, Inference & Information Discovery
3. Semantic Agents (s. FAQ)




















Screen shows an example of an interface on top of the SBSGRID Inference Engine. The user travels a meta space ("BRmeta space") of three information spaces (brain imaging, neuro-chemical, public brain). The meta space uses the slices from the brain imaging space to produce a three dimensional model (three dimensional voxel space) which is directly viewed and used to navigate the other spaces and represents a example for a procedural dimension.
Insights derived from traveling the virtually combined spaces will be expressed within this meta space, structuring and populating it, and producing another space which may become further abstracted by being used by another meta space.





SBSGRID is a software layer that sits on top of your database(s) or any other data-source and shows associations and connections within information which had not been visible before (SBSGRID Explained).