Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

A knowledge Graph Construction Approach for Ship Overall Performance Domain

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345390,
        author={Kangkang  Dou and Dongsheng  Wang and Kun  Tang and Wei  Chen},
        title={A knowledge Graph Construction Approach for Ship Overall Performance Domain },
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={knowledge graph ontology knowledge fusion ship overall performance domain},
        doi={10.4108/eai.15-12-2023.2345390}
    }
    
  • Kangkang Dou
    Dongsheng Wang
    Kun Tang
    Wei Chen
    Year: 2024
    A knowledge Graph Construction Approach for Ship Overall Performance Domain
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345390
Kangkang Dou1, Dongsheng Wang2,*, Kun Tang2, Wei Chen1
  • 1: Jiangsu Automation Research Institute
  • 2: Jiangsu University of Science and Technology
*Contact email: jsjxy_wds@just.edu.cn

Abstract

The Ship Overall Performance (SOP) generally refers to the performance that has a decisive effect on the overall indicators of the ship. Knowledge graph is used to describe entities and concepts in the real world and the relationships between them. By constructing a knowledge graph in the SOP domain, it can better meet the business analysis needs of scientific research or engineering personnel in terms of knowledge question-answering and decision-making assistance. Firstly, the data in the SOP domain is analysed, and an ontology construction method based on the seven-step method is proposed, and the ontology construction is completed with the help of protégé tools. Then, knowledge extraction and fusion are carried out on the massive domain text, and finally the RDF triples are mapped to the graph database, and the graph data is stored in the database to realize knowledge visualization, and realize the construction of the knowledge graph in the SOP domain.