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What do medical devices and medicines, food products and cosmetics, household products and even smoking devices have in common? They all contain multiple ingredients, from natural to synthetic ones, in different quantities, all of which will be exposed to the population.
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The 6.5.2 release of SciBite’s VOCabs introduces a range of new VOCab packs as well as updates to existing vocabularies. In this blog series we’ll be introducing each of the new VOCabs: IDMP, a new Sequence Ontology VOCab as part of the Genotype-Phenotype VOCab pack and, first up, the new Emtree VOCab pack.
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Public ontologies are essential for applying FAIR principles to data but are not built for use in named entity recognition pipelines. At SciBite, we build on the public ontologies to create VOCabs optimized for NER. In this blog, discover how we create a SciBite VOCab from a Public Ontology.
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SciBite’s vocabularies fuel a host of use cases, from complex querying to data integration and discovery of new knowledge. In the 6.5.2 release of VOCabs, SciBite introduces the new Emtree VOCab pack, as well as a new Sequence Ontology vocab to the Genotype-Phenotype vocab pack. Several updates to existing vocabularies are also included.
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SciBite’s VOCabs power a host of semantic use cases including search and analytics. Created from public ontologies and reference databases for a wide range of topics, these vocabularies are enriched using our proprietary tools, and curated by our team of experts to ensure maximum capture of relevant synonyms by subject area and context.
ReadA closer look at our food, nutrients and micronutrients VOCab
ReadGet in touch with us to find out how we can transform your data
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