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ISLKG: The Construction of Island Knowledge Graph and Knowledge Reasoning

Author

Listed:
  • Qi He

    (College of Information Technology, Shanghai Ocean University, Shanghai 201306, China)

  • Chenyang Yu

    (College of Information Technology, Shanghai Ocean University, Shanghai 201306, China)

  • Wei Song

    (College of Information Technology, Shanghai Ocean University, Shanghai 201306, China)

  • Xiaoyi Jiang

    (National Marine Data and Information Service, Tianjin 300171, China)

  • Lili Song

    (National Marine Data and Information Service, Tianjin 300171, China)

  • Jian Wang

    (College of Information Technology, Shanghai Ocean University, Shanghai 201306, China)

Abstract

Islands with both land and sea characteristics provide the foundation for protecting the marine environment, preserving the ecological balance of the ocean, and fostering sustainable economic and social growth. Advanced monitoring technologies have boosted the collection of multi-source data of islands, but the isolation and insufficiency of data are harmful to the development and management of islands. To form a coherent and complete understanding of islands, it is necessary to convert the multi-source data into knowledge-based information. This paper proposes an island knowledge graph construction method based on the combination of entity dictionary and rule patterns, and builds the island knowledge graph (ISLKG) from the top to bottom. An ontology layer is initially created to standardize island knowledge, followed by the collection, transformation, and extraction of entities and relationships from multi-source data in order to construct an island knowledge graph. Then, a knowledge reasoning model based on knowledge graph embedding is used for knowledge completion, improving the ISLKG. Finally, the knowledge inference model was verified based on the constructed island knowledge graph. The results indicate that the model can effectively predict missing entities and complement the island knowledge graph.

Suggested Citation

  • Qi He & Chenyang Yu & Wei Song & Xiaoyi Jiang & Lili Song & Jian Wang, 2023. "ISLKG: The Construction of Island Knowledge Graph and Knowledge Reasoning," Sustainability, MDPI, vol. 15(17), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13189-:d:1231408
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    References listed on IDEAS

    as
    1. Qi Zhang & Yuanqiao Wen & Chunhui Zhou & Hai Long & Dong Han & Fan Zhang & Changshi Xiao, 2019. "Construction of Knowledge Graphs for Maritime Dangerous Goods," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    2. Ziwei Xiao & Chunxiao Zhang, 2021. "Construction of Meteorological Simulation Knowledge Graph Based on Deep Learning Method," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    3. Jiyuan Tan & Qianqian Qiu & Weiwei Guo & Tingshuai Li, 2021. "Research on the Construction of a Knowledge Graph and Knowledge Reasoning Model in the Field of Urban Traffic," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    4. Xuan Guo & Haizhong Qian & Fang Wu & Junnan Liu, 2021. "A Method for Constructing Geographical Knowledge Graph from Multisource Data," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
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