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TERMite datasheet

Text analytics + semantic enrichment

TERMite (TERM identification, tagging & extraction) is the ultra-fast named entity recognition (NER) and extraction engine at the heart of our semantic analytics software suite.

We developed TERMite to rapidly scans and semantically annotates raw text (up to 1 million words per second) with entities from over 50 biopharma and biomedical topics. The entities are drawn from VOCabs, which is SciBite’s flagship collection of manually curated vocabularies with >20 million synonyms, specifically tuned for NER text analytics. Since VOCabs are based on public ontologies, such as gene ontology, tagging entities with TERMite will map your data to those ontologies, align data to public standards, and improve data interoperability.

To read more, download the full product datasheet.

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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.

  2. What’s in our 6.5.2 TERMite / VOCabs release

    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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