Scientists today are confronted with overwhelming volumes and sources of data to analyse. Whilst computational searching is possible, this quickly proves to be inadequate when tackling the deluge of scientific text with variations of spellings and synonyms.
To help address this problem, SciBite has created a series of optimised vocabularies that enable computers to uncover relevant information.
Based on public ontologies or reference databases from a wide range of topics, our curation team transform and further enrich these ontologies into specialised vocabularies which are consumed by our entity extraction engine, TERMite. These capabilities provide our customers with the ability to identify and extract relevant scientific information from millions of records at the click of a button.
To read more, download the full product datasheet.
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.Read
Cambridge, UK – SciBite, the award-winning semantic technology company, recently hosted its first Virtual User Group Meeting across three days, bringing together its global customer base to share cutting-edge insights.Read
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