Version 1
: Received: 13 September 2023 / Approved: 14 September 2023 / Online: 14 September 2023 (14:03:36 CEST)
How to cite:
Zheng, X.; Liu, H.; Zhang, G. One Kind Method for Constructing Knowledge Graph of Yijing. Preprints2023, 2023090996. https://doi.org/10.20944/preprints202309.0996.v1
Zheng, X.; Liu, H.; Zhang, G. One Kind Method for Constructing Knowledge Graph of Yijing. Preprints 2023, 2023090996. https://doi.org/10.20944/preprints202309.0996.v1
Zheng, X.; Liu, H.; Zhang, G. One Kind Method for Constructing Knowledge Graph of Yijing. Preprints2023, 2023090996. https://doi.org/10.20944/preprints202309.0996.v1
APA Style
Zheng, X., Liu, H., & Zhang, G. (2023). One Kind Method for Constructing Knowledge Graph of Yijing. Preprints. https://doi.org/10.20944/preprints202309.0996.v1
Chicago/Turabian Style
Zheng, X., Haiyan Liu and Guopeng Zhang. 2023 "One Kind Method for Constructing Knowledge Graph of Yijing" Preprints. https://doi.org/10.20944/preprints202309.0996.v1
Abstract
Due to the inclusion of both the principles and divination methods, the study of Yijing (Yijing) becomes more complex. The complex data types, diverse semantic relationships, and unclear influencing mechanisms in Yijing pose challenges to its scientific research. Knowledge graph, as an advanced way of organizing knowledge, can provide technical support in exploring the hidden connections and knowledge structure within text resources. This paper proposes a method of constructing a Yijing knowledge graph based on Neo4j. By analyzing the concepts, entities, and various related relationships in Yijing, the method discusses the basic architecture, data model, and implementation steps of constructing the Yijing knowledge graph. It also extracts, integrates, and structures the Yijing knowledge, allowing for inquiries, associations, and reasoning about the knowledge and its various elements. By adopting a top-down approach, the paper reconstructs the fundamental knowledge system of the Yijing, including yin-yang, the five elements, generation and restriction, 64 hexagrams, and six lines(yao). It establishes a knowledge graph pattern layer and a data layer that encompass concepts, attributes, and relationships. With the technical support of the Neo4j platform, the visualization and retrieval of Yijing knowledge are realized, providing new ideas and methods for studying the mechanisms of the Yijing. The proposed method of constructing a Yijing knowledge graph can be expanded to other types of ancient scripture knowledge graph research and can be applied to the field of digital humanities, promoting in-depth cross-disciplinary research and integration.
Keywords
Yijing, knowledge graph, Neo4j, visualization retrieval, new method.
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
