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Considerations in ontology management: Productionising ontologies [Webinar]

As the Life Science industry becomes increasingly aware of the importance of taking a data-centric approach to asset management and how the FAIR principles can support this, the necessity to have accurate and representative ontologies is obvious.

Many aspects need to be considered when managing and provisioning these ontologies, including version control and change management, capturing mappings between ontologies covering similar domains, dealing with multiple representations of ontologies, and governance, to name a few. It is these points that will be covered in the webinar

Moderator:

  • Zahid Tharia, Consultant, Pistoia Alliance

Presenters:

  • Joe Mullen PhD, Director of Technical Consultants, SciBite
  • Gabrielle Whittick, SEED Project Manager, Pistoia Alliance
Joe Mullen
Director of Data Science & Professional Services, SciBite

Leading SciBite’s data science and professional services team, Joe is dedicated to helping customers unlock the full potential of their data using SciBite’s semantic stack. Spearheading R&D initiatives within the team and pushing the boundaries of the possible. Joe’s expertise is rooted in a PhD from Newcastle University, focussing on novel computational approaches to drug repositioning; building atop semantic data integration, knowledge graph & data mining.

Since joining SciBite in 2017, Joe has been enthused by the rapid advancements in technology, particularly within AI. Recognizing the immense potential of AI, Joe combines this cutting-edge technology with SciBite’s core technologies to craft tailored, bespoke solutions that cater to diverse customer needs.

Other articles by Joe

  1. Are ontologies still relevant in the age of LLMs? read more
  2. What is Retrieval Augmented Generation, and why is the data you feed it so important? read more
  3. Large language models (LLMs) and search; it’s a FAIR game, read more
  4. Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 1], read more
  5. Why use your ontology management platform as a central ontology server? read more
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