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Building a New, Robust Domain-Specific Vocabulary
[Use Case]

Ontology management

The Business Challenge:

A global bioscience company wanted to standardise its use of scientific terminology. However, they found that most publicly available ontologies focused on pharmaceutical terminology and did not provide appropriate coverage relevant to their business, which is to develop solutions for the food, nutritional and agricultural industries. The manual development and review of a new vocabulary would have consumed significant internal resource.

The SciBite Solution:

We started with several existing ontologies, including publicly available bacterial species names, which were enriched using internal terminology commonly used within the client’s organisation, including bacterial strain names and biosafety terms. We also leveraged machine learning techniques to support the enrichment process in a controlled way. For example, to suggest terms that are similar to a word of interest because they are used in a similar context, and to fill gaps not covered by a public ontology.

Key Business Benefits:

  • Ability to augment publicly available ontologies with internal, client-specific terminology
  • A bespoke vocabulary, tailored to the needs of the food company

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

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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. Exploring ontology visualisation techniques for biological data

    What’s the most useful way to visualise an ontology? SciBite CTO James Malone gives his views on answering this commonly asked question regarding ontology visualisation techniques.


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