Aug 2018

SN SciGraph: more related objects links increase discoverability of content


The latest release of SN SciGraph Explorer includes a number of new features that make it easier to navigate the scholarly knowledge graph and discover items of interest.

Graphs are essentially composed by two kinds of objects: nodes and edges. Nodes are like the stations in a train map, while edges are the links that connect the different stations. Of course, one wants to be able to move from station to station in any direction! Similarly in a graph one wants to be able to jump back and forth from node to node using any of the links provided. That's the beauty of it!

What is SN SciGraph? SciGraph is the Springer Nature Linked Data platform that collates information from across the research landscape, i.e. the things, documents, people, places and relations of importance to the science and scholarly domain. Metadata for millions of entities are available to explore, as well as for downloading to reuse within your own application under a CC-BY and CC-BY-NC licenses.

Although the underlying data allowed for this sort of navigation, the SN SciGraph Explorer website wasn't fully supporting it. So we've recenlty started to add a number of 'related objects' sections that reveal these pathways more clearly.

For example, now it's much easier to get to the organizations and grants an article relates to:

Screen Shot 2018-07-31 at 18.23.47.png

Or, for a book edition, to see its chapters and related organizations:

bookEdition-links.png

And much more..  Take a look at the site yourself to find out.

Finally, we improved the linked data visualization included in every page by adding distinctive icons to each object type - so to make it easier to understand the immediate network of an object at a glance. E.g. see this grant:

grant-diagram.png

SN SciGraph is primarily about opening up new opportunities for open data and metadata enthusiasts who want to do more things with our content, so we hope that these additions will make discovering data items easier and more fun.

Any comments? We'd love to hear from you. Otherwise, thanks for reading and stay tuned for more updates.

PS: this blog was posted on the SN Research Data space too.

Cite this blog post:


Michele Pasin. SN SciGraph: more related objects links increase discoverability of content. Blog post on www.michelepasin.org. Published on Aug. 1, 2018.

Comments:


See also:

2014


paper  Linked data experience at Macmillan: Building discovery services for scientific and scholarly content on top of a semantic data model

International Semantic Web Conference (ISWC-14), Riva del Garda, Italy, Oct 2014.


2012


paper  Annotation and Ontology in most Humanities research: accommodating a more informal interpretation context

NeDiMaH workshop on ontology based annotation, held in conjunction with Digital Humanities 2012, Hamburg, Germany, Jul 2012.


2008


paper  Formalizing ʻphilosophicalʼ narratives: the tension between form and content

European Computing and Philosophy Conference (ECAP08), Montpellier, France, Jun 2008.