Analysis of Springer Nature SciGraph Linked Open Data

[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 i...

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Détails bibliographiques
Auteurs principaux: Bai Linlin, Zhu Zhongming
Format: Article
Langue:zho
Publié: LIS Press 2018-01-01
Collection:Zhishi guanli luntan
Sujets:
Accès en ligne:http://kmf.ac.cn/p/120/
Description
Résumé:[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.
ISSN:2095-5472