Semantic Data Intelligence in Lifescience

There is an abundance of information about drugs available on the Web. Data sources range from medicinal chemistry results, over the impact of drugs on gene expression, to the outcomes of drugs in clinical trials.

These data are typically not connected together, which reduces the ease with which insights can be gained. Linking Open Drug Data (LODD) is a task force within the World Wide Web Consortium’s (W3C) Health Care and Life Sciences Interest Group (HCLS IG).

The pharmaceutical industry is starting to embrace Linked Data with examples of projects being presented by Eli Lilly, Johnson & Johnson and UCB Pharma. While the adoption of Linked Data is still not yet very widespread in individual companies, it is on the agenda of several large-scale cross-pharma projects.

Open Pharmacological Space (OPS) Open PHACTS (Pharmacological Concept Triple Store) project under the European Innovative Medicines Initiative (IMI) wants to create an open source, open standards and open access infrastructure to enable integration of chemical and biological data to support drug discovery. In below diagram It shouldn’t be surprising that Entagen which makes the semantically-enabled Big Data analytics and collaboration engine TripleMap, has had its sights set on the life sciences space.

It can be easily confirmed by above examples that Semantic data is the today’s data!

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