Mapping Vocabularies to Enable Effective Data Mining
[Use Case]

Ontology management

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:

  • Integration of previously disconnected data sources
  • Users can search across multiple databases with a single query

Find out more about how our Ontology Services can benefit your business.

Learn more

Related articles

  1. Are ontologies relevant in a machine learning-centric world?

    SciBite CSO and Founder Lee Harland shares his views on why ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.

  2. SciBite technology transforms data mining & horizon scanning

    With 6,800 new scientific publications released every day (one every 12 seconds) data mining and horizon scanning is becoming increasingly difficult for medical researchers, which can lead to delayed discoveries in the life science space.


How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us