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 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.Read
In our previous blog, we explained why FAIR data is important not only for biotech and pharmaceutical companies but also for their partners. Here we describe how ontologies are the key to having the richly described metadata that is at the heart of making data FAIR. Let’s explore how ontologies help with each aspect of the FAIR data principles…Read
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