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

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Part of the book series: Communications in Computer and Information Science ((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.

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References

  1. Bermudez, L., Graybeal, J., Arko, R.: A marine platforms ontology: experiences and lessons. In: Proceedings of the ISWC 2006 Workshop on Semantic Sensor Networks, Athens, GA, USA. Aachen, Germany (2006)

    Google Scholar 

  2. Zhou, J.G., Liu, B.S.: Ontology construction in marine domain based on thesaurus. J. Ningbo Univ. (Sci. Technol. Ed.) (25), 1:10–1:12 (2012)

    Google Scholar 

  3. Xiong, J.: Research and application of modeling method of marine ecological ontology. Ocean University of China, Qingdao (2010)

    Google Scholar 

  4. Yun, H.Y., Xu, J.L., Guo, Z.B., et al.: Ontology modeling of marine ecology. Comput. Appl. 34(4), 1105–1108 (2014)

    Google Scholar 

  5. Zhang, J.X., Liu, Y.: Ontology modeling research in the field of marine culture in the context of big data. J. Southeast Univ. 16(S2), 74–76 (2014)

    Google Scholar 

  6. Jia, H.P., Xiong, J., Xu, J.L., et al.: Research and application of role theory in ocean carbon cycle ontology construction. J. Ocean Univ. China 13(6), 979–986 (2014)

    Article  Google Scholar 

  7. Abidi, S.R., Abidi, S.S.R., Kwan, M., et al.: Ontology modeling for oceans knowledge and data management. In: International Conference on Intelligent Computational Systems (2011)

    Google Scholar 

  8. Li, H.T.: Research on marine environment information integration method and development of new generation MAPGIS platform software. Ocean University of China (2007)

    Google Scholar 

  9. Zhang, F.: Research on ontology-based ocean data integration method. Ocean University of China, Qingdao (2008)

    Google Scholar 

  10. Li, J.: Key technologies and development of ocean data sharing platform. Tianjin University, Tianjin (2008)

    Google Scholar 

  11. Lu, Q.: Design of marine environment data warehouse based on domain ontology. Northeast University, Shenyang (2009)

    Google Scholar 

  12. Zhang, Q.: Research on the representation and the construction of marine environment data ontology based on spatial relations. Shanghai Ocean University, Shanghai (2018)

    Google Scholar 

  13. Smith, B., Mark, D.M.: Ontology and geographic kinds. In: Poiker, T.K., Chrisman, N. (eds.) Proceeding of International Symposium on Spatial Data Handling (SDH 1998), pp. 308–320. International Geographical Union, Vancouver (1998)

    Google Scholar 

  14. Bishr, Y.: Overcoming the semantic and other barriers to GIS interoperability. Int. J. Geograph. Inf. Sci. 12(4), 299–314 (1998)

    Article  Google Scholar 

  15. Jing, D.S.: Research on semantic expression and service of geospatial information based on ontology. University of Chinese Academy of Sciences (Institute of Remote Sensing Application), Beijing (2005)

    Google Scholar 

  16. Li, H.W.: Study on geographic information service based on ontology. The PLA Information Engineering University, Zhengzhou (2007)

    Google Scholar 

  17. Du, Y.Y., Zhang, D.D., Su, F.Z., et al.: Gulf spatial data organization method based on geographic ontology – a case study of Liaodong Gulf. Geo-Inf. Sci. 10(1), 7–13 (2008)

    Google Scholar 

  18. Zhang, Y., Su, F.Z., Wang, Q., et al.: Reef ontology construction and its application in the spatial data organization. Geogr. Geo-Inf. Sci. 33(3), 52–58 (2017)

    Google Scholar 

  19. Zhu, G.Q., Shi, S.H., Xu, X.C., et al.: Ontology research and application in the field of Marine disasters. Mar. Inf. (02), 5–8 (2009)

    Google Scholar 

  20. Shao, B.: Design and implementation of maritime accident determination system based on ontology. Dalian Maritime University (2010)

    Google Scholar 

  21. Li, T., Fu, Y., Ji, M., et al.: Semantic analysis of ocean flow field based on ontology. J. Geo-Inf. Sci. 20(10), 1373–1380 (2018)

    Google Scholar 

  22. Wang, G.H., Huang, Q., Qin, C., et al.: Research on semantic analysis methods in ontology construction. Libr. Inf. Work 7(57), 106–111 (2013)

    Google Scholar 

Download references

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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Correspondence to Shenglu Zang .

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Ji, M., Zang, S., Sun, Y., Li, T., Xu, Y. (2020). Research on Domain Ontology Modeling and Formal Expression of Ocean Flow Field. In: Xie, Y., Li, Y., Yang, J., Xu, J., Deng, Y. (eds) Geoinformatics in Sustainable Ecosystem and Society. GSES GeoAI 2019 2019. Communications in Computer and Information Science, vol 1228. Springer, Singapore. https://doi.org/10.1007/978-981-15-6106-1_25

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  • DOI: https://doi.org/10.1007/978-981-15-6106-1_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6105-4

  • Online ISBN: 978-981-15-6106-1

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