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Research on Domain Ontology Modeling and Formal Expression of Ocean Flow Field

  • Min Ji
  • Shenglu ZangEmail author
  • Yong Sun
  • Ting Li
  • Yaru Xu
Conference paper
  • 35 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1228)

Abstract

With the continuous acquisition of multi-source marine data, the issue of semantic heterogeneity among ocean flow field phenomena had become the main difficulty for data sharing and analyzing of ocean flow field. For the reason that there was still no complete semantic shared knowledge system for ocean flow field at present, based on extensive reference to marine expertise and related standards, with the idea of ontology, the paper established the hierarchical system of ocean flow field domain knowledge. Through the semantic analysis of the relationship between concepts and attributes of ocean flow field domain ontology and the space-time relationship between ocean flow field instances, the paper proposed an ontology expression model based on a six-tuple, and constructed a basic structure that integrated concepts, attributes, relationships and instance sets together. And through extended modeling key words for Web Ontology Language (OWL), taking the western boundary current as an example, the paper gave the formal expression and description for semantic information based on OWL. The paper’s research could provide a theoretical basis for knowledge sharing and data mining in the field of ocean flow field.

Keywords

Ocean flow field Ocean ontology Semantic analysis Knowledge description OWL 

Notes

Acknowledgments

This work was supported in part by a grant from the Major Science and Technology Innovation Projects of Shandong Province (2019JZZY020103) and the National Science Foundation of China (41471330).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Min Ji
    • 1
  • Shenglu Zang
    • 1
    Email author
  • Yong Sun
    • 1
  • Ting Li
    • 1
  • Yaru Xu
    • 2
  1. 1.Shandong University of Science and TechnologyQingdaoChina
  2. 2.Jinan Real Estate Measuring InstituteJinanChina

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