The Business Challenge:
A leading business intelligence company had developed and acquired a range of life sciences databases. However, each database was indexed differently, resulting in silos of data that had to be searched independently.
The SciBite Solution:
As an initial step, we mapped the client’s internal lists of indexing terms to standard controlled life sciences vocabularies, including the Indication branch of MeSH (Medical Subject Headings) and Drugs from ChEMBL. This resulted in a single consistent means to index the clients databases. With the index mapping in place, connections could be made between entries in previously disconnected databases, enabling users to seamlessly navigate the content within them.
Key Business Benefits:
Find out more about how our Ontology Services can benefit your business.
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.Read
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.Read
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