Springer Nature SciGraph: Building a High Quality Semantic Graph for Linked Science

Springer Nature SciGraph: Building a High Quality Semantic Graph for Linked Science

14 Mar 2017, 10:00 - 10:30

Theatre @ Tech

Language:
English

We are pleased to introduce Springer Nature SciGraph, the new Linked Open Data platform aggregating data sources from Springer Nature and key partners from the scholarly domain. The Linked Open Data platform will initially collate information from across the research landscape, such as funders, research projects, conferences, affiliations and publications. Additional data, such as citations, patents, clinical trials and usage numbers will follow over time. This high-quality data from trusted and reliable sources provides a rich semantic description of how information is related, as well as enabling innovative visualisations of the scholarly domain. By doing so, Springer Nature SciGraph overcomes former boundaries by relating comprehensive information about the research landscape. It represents a further step in data integration and it will continue to grow organically. This platform will increase the discoverability of high quality data as larger parts of our datasets will be made freely available under a CC BY-NC 4.0 license.

 

Contributors

  • Michele Pasin

    Speaker

    Lead Architect, Knowledge Graph

    Springer Nature

    Prior to joining National Literacy Trust in 2010 Abigail led investment into work with children and young people at Arts Council England and spent...

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