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VOCabs datasheet

Text analytics + semantic enrichment

Semantic enrichment requires accurate detection of relevant terms, which in turn depends on carefully tuned vocabularies containing comprehensive synonyms.

SciBite’s manually curated, enriched vocabularies, comprising tens of millions of synonyms, have unrivalled depth and breadth, ensuring comprehensive coverage of relevant terminology and providing the robust foundation necessary for downstream integration and analysis to be effective.

To read more, download the full product datasheet.

Related articles

  1. Creating a SciBite VOCab from a public ontology

    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.

  2. Are ontologies still relevant in the age of LLMs?

    Headshot of Joe Mullen, SciBite

    Technological advancements exhibit varying degrees of longevity. Some are tried and trusted, enduring longer than others, while other technologies succumb to fleeting hype without attaining substantive fruition. One constant, in this dynamic landscape is the data.


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