Chris Bendall – Springer NatureDirector Physical Sciences (Engineering & Tech)
Chris Bendall, Director Physical Sciences (Engineering & Tech), Springer Nature
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SciGraph and interactive knowledge exploration in Pharma
Instead of the traditional flat document perspective, users encounter a structured world of knowledge built upon an ocean of semantically enriched and integrated facts. To exploit the full potential of this shift, scientific database products have to offer an intelligent search that goes far beyond traditional keyword search.
This requires a synthesis of features that aim at understanding users’ intents and mapping their queries to entities of different types and the complex relations between them. In addition, the future success of scientific databases depends on features for interactive knowledge exploration, smart browsing and serendipitous discovery. All this requires complex data pipelines that utilise a wealth of cutting-edge AI technologies.
This talk gives an overview of the combination of related technologies that we are currently incorporating into Springer Nature database products, ranging from (semi-)automated entity recognition in natural-language texts, over taxonomies, ontologies & Linked Data principles, to advanced machine-learning techniques and data analytics like graph & network mining.
We highlight how we benefit from each of these components, but even more so from their successful combination.