Springer Nature SciGraph

A Linked Open Data platform for the scholarly domain

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Join our SciGraph Hack Day

Dataset Download

Licensing Information

Further Info

SN SciGraph at a glance
(PDF, 979.37 KB)

Benefits for the research community

  • Researchers benefit by overcoming internal and external data silos in research communities
  • Users of the scholarly domain broaden their perspective by semantic relations being revealed visually
  • Developers are actively encouraged to reuse Springer Nature’s datasets
  • Authors and editors enjoy easy access to high quality data from trusted and reliable sources
  • Funders, librarians, conference organizers find optimal data for analysis and recommendation tools
  • Large parts of the datasets will be freely accessible (CC BY-NC 4.0 or CC0 public domain license)

Statements

Our vision is to create the largest state of the art linked data aggregation platform for the scholarly domain. We ingest data across internal and external data silos to transform it for re-usage across the entire enterprise and research area.

Henning Schoenenberger, Director Product Data and Metadata

Data is infinitely more valuable when you look beyond the individual datasets to the relationship between them. We are thrilled to be collaborating with Springer Nature to bring this openly available platform to the larger community.

MARIO DIWERSY, MANAGING DIRECTOR, ÜBERRESEARCH (PART OF DIGITAL SCIENCE)

The Springer Nature SciGraph architecture is the result of more than five years of research and development with semantic technologies, linked data, and, in particular, their application to the scholarly publishing domain which both Nature and Springer had been working on – at first separately, now united.

Michele Pasin, PhD, Lead Data Architect 

We are happy to support SpringerNature in their journey of interlinking and making huge amounts of diverse data discoverable. Ontotext's vision is to provide a reliable semantic graph database that offers fast data loading, efficient data updates and is easy to use.

Atanas Kiryakov, CEO Ontotext

Our leading principle was always to be as open with the data and as passionate with support for applications as possible. We are proud to say that this new product was implemented with cutting edge semantic web technologies applying a sophisticated, internally developed ontology.

Markus Kaindl, Senior Manager Semantic Data and product owner

Upcoming

Public Data Release Plan:

  • DONE -- Spring 2017: Portal Page including periodic data dumps will be released for Linked Open Data specialists
  • Summer 2017: Linked Data Browser will be released for users from the scholarly domain
  • Autumn 2017: Data API will be released for developers

To engage with the Linked Open Data research community and to encourage re-usage of this newly created dataset Springer Nature will organize a hack day in London on June 23rd 2017. More information on this will follow.

Key partners

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Digital Science is a primary data provider and development partner on the project - also helping to kick-start the project with senior staff joining our team.

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We are using Ontotext’s triple store GraphDB as scalable semantic graph database. Their support during the initiation of the project and afterwards has been excellent.

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InfoChem provides named entity recognition in the chemical domain, annotating relevant substances, chemical compounds & molecules.

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We will be storing the main concepts of our publications as extracted by Unsilo in our graph to cluster documents around certain topic areas.

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