We are pleased to announce the third release of Springer Nature SciGraph Linked Open Data. SN SciGraph is a Linked Data platform that collates information from across the research landscape, encompassing the things, documents, people, places, and relations of importance to the science and scholarly domain.
This release includes a complete refactoring of the SN SciGraph data model. Following up on user feedback, we have simplified it using Schema.org and JSON-LD, making it easier to understand and consume the data, even for non-linked data specialists.
Additionally, this release includes two brand new datasets—Patents and Clinical Trials linked to Springer Nature publications—which have been made available by our partner Digital Science, and in particular the Dimensions team.
New Datasets: Data about clinical trials and patents connected to Springer Nature publications have been added. This data is sourced from Dimensions.ai.
New Ontology: Schema.org is now the main model used to represent SN SciGraph data, providing better interoperability with other linked data sources.
References Data: Publication data now includes references as well (outgoing citations), enabling more comprehensive bibliometric analyses.
Simpler Identifiers: URIs for SciGraph objects have been dramatically simplified, reusing common identifiers whenever possible. In particular, all articles and chapters use the URI format: prefix ('pub.') + DOI (e.g., pub.10.1007/s11199-007-9209-1).
JSON-LD: JSON-LD is now the primary serialization format used by SN SciGraph, making the data more accessible to web developers.
Downloads: Data dumps are now managed externally on FigShare and are referenceable via DOIs, ensuring better data preservation and citation.
Continuous Updates: New publication data is released on a daily basis. All other datasets are refreshed on a monthly basis, keeping the platform current and relevant.
Visit scigraph.springernature.com to explore the new features and datasets. The platform offers both a web interface for browsing and APIs for programmatic access to the data.
Note: Cross-posted on https://researchdata.springernature.com
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2019
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.
Second biennial conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 2019.
2018
2017
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.