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...

詳細記述

書誌詳細
主要な著者: Bai Linlin, Zhu Zhongming
フォーマット: 論文
言語:zho
出版事項: LIS Press 2018-01-01
シリーズ:Zhishi guanli luntan
主題:
オンライン・アクセス:http://kmf.ac.cn/p/120/
その他の書誌記述
要約:[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