SciBite’s Vocabulary Editing Toolkit (VET) is a desktop application designed to help curators build and manage lists of semantically related terms. VET is an intuitive editor that “understands” the key elements of vocabularies – synonyms, unique identifiers and taxonomy – and makes it easy for scientists to adapt existing vocabularies or curate entirely new ones.
Without VET, crafting a high-quality vocabulary from scratch or customising an existing one with in-house domain knowledge is a complicated and tedious process. Scientists either juggle multiple text files or use spreadsheets, which, although simple to use, aren’t built for the management of complex scientific data.
“High-quality vocabularies are critical to achieving the clean, accurately described data necessary for advanced computational methods, such as AI, to be effective,” says James Malone, Chief Technical Officer at SciBite. “With this latest version of VET, we are further building on our integrated approach to simple, collaborative and robust ontology management.”
The new version of VET introduces:
Find out more about VET at https://www.scibite.com/platform/vet/.
SciBite is an award-winning semantic software company offering an ontology-led approach to transforming unstructured content into machine-readable clean data. Supporting the top 20 pharma with use cases across life sciences, SciBite empowers customers with a suite of fast, flexible, deployable API technologies, making it a critical component in scientific data-led strategies. Headquartered in the UK, we support our global customer base through additional sites in the US and Japan.
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