Springer Nature SciGraph关联开放数据分析

Analysis of Springer Nature SciGraph Linked Open Data

[目的 /意义]Springer Nature SciGraph平台提供的关联开放数据的分析,为国内出版商在学术交流和语义出版中使用关联数据促进科研的关联开放实践提供参考,可推动我国开放科研运动的进一步向前发展。[方法 /过程]对Springer Nature SciGraph平台发布的实体对象、采用的词表、数据模型进行详细分析。[结果 /结论 ]Springer Nature SciGraph通过构建自己的本体,采用一种用于RDF的更简单的序列化N-Triples格式的三元组对数据进行表示,作为世界上最大的出版商之一,Springer Nature关联数据在今后必将为其他出版商要实现科研关联开放提供一定的借鉴。

[Purpose/significance] The analysis of thelinked open data provided by the Springer Nature Sci Graph 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 Sci Graph platformin detail.[Result/conclusion] Springer Nature Sci Graph 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.