SN SciGraph is part of the Linked Open Data Cloud 2018

The latest Linked Open Data (LOD) Cloud has been recently made available by the Insights Centre for Data Analytics. The LOD cloud is a visual representation of the datasets (and the links among them) that have been published according to the Linked Data principles - a web-friendly methodology for data sharing that encourages open schemas and data reuse.


We've very glad to say that Sn SciGraph is now part of it! (ps this is its JSON record) If you look at the picture above, the two red lines departing from our 'bubble' indicate that the two main datasets we are linking to are CrossRef and DBpedia.

Note this visualisation unfortunately doesn't do justice to the fact that SN SciGraph is one of the largest datasets out there (1 billion + triples and counting). In previous versions, the bubble's size would reflect how large a dataset is.. but hopefully that'll change in the future!

The cloud currently contains 1,184 datasets with 15,993 links (as of April 2018) and it's divided into 9 sub-clouds based on their domain.


SciGraph is part of the 'Publications' sub-cloud (depicted above) alongside other important linked data publishers such as the British Library, the German National Library, the Open LibraryOCLC and many others.

It's impressive to see the growing number of datasets being released using this approach! We've been told that later this year more discovery tools will be made available that allow searching for data publishers, so to make it easier for people and projects to collaborate.

Useful links:

Cite this blog post:

Michele Pasin. SN SciGraph is part of the Linked Open Data Cloud 2018. Blog post on Published on May 23, 2018.

Comments via Github:

See also:



paper  Modeling publications in SN SciGraph 2012-2019

Workshop on Scholarly Digital Editions, Graph Data-Models and Semantic Web Technologies, Université de Lausanne, Jun 2019.

paper  Interlinking SciGraph and DBpedia datasets using Link Discovery and Named Entity Recognition Techniques

Second biennial conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 2019.


paper  Data integration and disintegration: Managing Springer Nature SciGraph with SHACL and OWL

Industry Track, International Semantic Web Conference (ISWC-17), Vienna, Austria, Oct 2017.

paper  Using Linked Open Data to Bootstrap a Knowledge Base of Classical Texts

WHiSe 2017 - 2nd Workshop on Humanities in the Semantic web (colocated with ISWC17), Vienna, Austria, Oct 2017.


paper  Insights into Nature’s Data Publishing Portal

The Semantic Puzzle (online interview), Apr 2016.


paper  Learning how to become a linked data publisher: the ontologies portal.

5th Workshop on Linked Science 2015, colocated with ISWC 2015., Bethlehem, USA, Sep 2015.



paper  Data integration perspectives from the London Theatres Bibliography project

Annual Conference of the Canadian Society for Digital Humanities / Société pour l'étude des médias interactifs (SDH-SEMI 2010), Montreal, Canada, Jun 2010.