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Semantic Web resources provide essential means to support dataset search, findability and interoperability. This becomes especially important in long-running and large scale collaborative projects, as semantic annotations promote a common understanding of central terms within the project. To this end, in this paper, we introduce a new tool developed to (semi-)automatically annotate scientific datasets collected within the framework of CRC AquaDiva ( http://www.aquadiva.uni-jena.de/ ). To validate the powerful data annotation, we demonstrate the deployment of data annotation to enhance dataset search and analysis.

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Towards Semantic Annotation for Scientific Datasets

  • 会议论文

  • 发表日期：

    2025年

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  • Alsayed Algergawy,
  • Hamdi Hamed,
  • Sven Thiel,
  • Birgitta König-Ries

摘要

Semantic Web resources provide essential means to support dataset search, findability and interoperability. This becomes especially important in long-running and large scale collaborative projects, as semantic annotations promote a common understanding of central terms within the project. To this end, in this paper, we introduce a new tool developed to (semi-)automatically annotate scientific datasets collected within the framework of CRC AquaDiva ( http://www.aquadiva.uni-jena.de/ ). To validate the powerful data annotation, we demonstrate the deployment of data annotation to enhance dataset search and analysis.