In this webinar, Helena Deus will talk about the COVID-19 knowledge graph that Elsevier created by applying text mining techniques on relevant papers. She will also discuss why a knowledge graph was used.  Shobhna Srivastava will discuss Elsevier's Research Citation network. She will talk about how the journey of trying to simplify the existing data processing pipeline, to optimise costs, and choose the right solution to the problem opens the doors to other potential use cases and innovation. Graph technology has been applied to the scientific research domain to enhance content discovery.

Helena Deus, PhD
Business Process Manager at ZS Associates

Helena Deus received her PhD in Computational Biology where she focused on knowledge-graph based management systems as enablers for translational medicine. Helena is passionate about finding data science and technology solutions that can significantly accelerate innovation in healthcare, with a particular emphasis in oncology.

When COVID swept the world, she was employed at Elsevier and quickly realized how important it was - for drug and vaccine repurpose - to empower scientists with knowledge extracted from literature that could be used to understand the biological underpinnings of the disease.

Shobhna Srivastava
Director of Engineering, Elsevier

Shobhna Srivastava is an experienced technology professional leading search, graph and recommendation technology teams at Elsevier. She is equally passionate about building well architected solutions that solve business needs, can scale and evolve over time.

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