SciData: a data model and ontology for semantic representation of scientific data
作者: Stuart J. Chalk
作者单位: 1University of North Florida
刊名: Journal of Cheminformatics, 2016, Vol.8 (1)
来源数据库: Springer Nature Journal
DOI: 10.1186/s13321-016-0168-9
关键词: Science dataSemantic annotationOntologyJSON-LDRDFScientific data model
英文摘要: Abstract(#br)With the move toward global, Internet enabled science there is an inherent need to capture, store, aggregate and search scientific data across a large corpus of heterogeneous data silos. As a result, standards development is needed to create an infrastructure capable of representing the diverse nature of scientific data. This paper describes a fundamental data model for scientific data that can be applied to data currently stored in any format, and an associated ontology that affords semantic representation of the structure of scientific data (and its metadata), upon which discipline specific semantics can be applied. Application of this data model to experimental and computational chemistry data are presented, implemented using JavaScript Object Notation for Linked Data....
全文获取路径: PDF下载  Springer Nature  (合作)
影响因子:3.59 (2012)

  • representation 表现
  • scientific 科学
  • ontology 本体论
  • semantic 语义上的
  • model 模型