Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
SciBite / Knowledge Hub / Resources / Creating knowledge graphs from literature [Webinar]
Organizations produce data and ingest externally generated data at a rapid pace. Holistic views of multiple data sources allow for inferences to be made that would otherwise remain unseen. In order to take holistic views of this data, it is critical that they are aligned to standards and that intuitive data structures are utilized to enable complex querying of the integrated dataset.
During this short webinar our Lead Technical Consultant Joe Mullen will explain how SciBite’s semantic enrichment technology is being used to facilitate the production of Knowledge Graphs.
We will explain how the SciBite stack can be used for the extraction of semantic triples from literature as well as the harmonisation and integration of these with data from both external and internal structured data sources.
With a PhD from Newcastle University in computational approaches to drug repositioning, Joe brings a strong scientific foundation rooted in semantic data integration, knowledge graphs, and data mining. Since joining SciBite in 2017, he has had the privilege of leading the Data Science and Professional Services teams, where he combined cutting-edge technology with our core data enrichment products to create tailored solutions for a diverse range of customers.
Today, as Product Director, Joe is passionate about shaping the vision of our software solutions, aligning them with strategic goals, and most importantly, supporting our clients in unlocking the full potential of their scientific data.
His focus is on driving innovation that empowers scientists and organizations to make impactful discoveries faster and more efficiently.
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