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  • 标题:On the Role of Context and Subjectivity on Scientific Information Systems
  • 本地全文:下载
  • 作者:Narock, Thomas ; Yoon, Victoria ; March, Salvatore
  • 期刊名称:Communications of the Association for Information Systems
  • 印刷版ISSN:1529-3181
  • 出版年度:2012
  • 卷号:30
  • 期号:1
  • 页码:12
  • 出版社:Association for Information Systems
  • 摘要:The explicit representation of context and subjectivity enables an information system to support multiple interpretations of the data it records. This is a crucial aspect of learning and innovation within scientific information systems. We present an ontology-based framework for context and subjectivity that integrates two lines of research: data provenance and ontological foundations of the Semantic Web. Data provenance provides a set of constructs for representing data history. We extend the definition of these constructs in order to describe multiple viewpoints or interpretations held within a domain. The W7 model, the Toulmin model, and the Proof Markup Language (PML) provide the Interlingua for creating multiple viewpoints of data in a machine-readable and sharable form. Example use cases in space sciences are used to demonstrate the feasibility and value of our approach.
  • 关键词:knowledge management; Semantic Web; ontology; context; subjectivity; provenance
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