Zhishi guanli luntan (Jan 2018)

Analysis of Springer Nature SciGraph Linked Open Data

  • Bai Linlin,
  • Zhu Zhongming

DOI
https://doi.org/10.13266/j.issn.2095-5472.2018.001
Journal volume & issue
Vol. 3, no. 1
pp. 2 – 11

Abstract

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[Purpose/significance] The analysis of the linked open data provided by the Springer Nature SciGraph platform provides a reference for the domestic publishers to use the linked data to promote the practice of linked open research in the scholarly communication and the semantic publishing, and push forward the further development of the open scientific research movement.[Method/process] This paper analyzed the entity objects, vocabularies and data models of the Springer Nature SciGraph platform in detail.[Result/conclusion] Springer Nature SciGraph represents the data by building its own ontology and using a simpler serialized format N-Triples triple for RDF.As one of the world’s largest publishers, Springer Nature Linked Data will provide some references for other publishers to realize the linked research in the future.

Keywords