Selventa and Linguamatics have announced a strategic partnership to provide a “complete pipeline of scientific knowledge extraction to their life science partners.” According to the article, “The alliance will bring together established analytical capabilities of both companies to efficiently extract complex life science knowledge in a computable, structured, biological expression language (BEL) format that can be used to interpret large-scale experimental data in the context of published literature.”

Linguamatics CTO David Milward stated, “The Selventa and Linguamatics collaboration shows how precise, detailed information can be automatically extracted from the literature and provided in a format suitable for further analysis and reasonin… This will allow re-use of knowledge from the literature, at greater scale and speed.”

The article continues, “Selventa’s discovery platform operates on top of a collection of scientific knowledge (knowledgebase) comprised of a set of BEL statements. BEL is a structured language designed to represent scientific findings in a computable form with supporting contextual information (e.g. tissue, disease, species, publication, etc.). BEL is use-neutral, articulating an idea in a manner that is unambiguous, terse, and conveys the facts and associated contexts without loss or ambiguity. BEL, along with the BEL Framework, is available through a portal to the scientific community to promote the collection, sharing and interchange of structured scientific knowledge.”

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Image: Courtesy Selventa