图书馆杂志

图书馆杂志 ›› 2026, Vol. 45 ›› Issue (2): 92-102.

• 全民阅读推广学坛 • 上一篇    下一篇

面向心理建设的阅读滋养多模态知识图谱构建

王秀红,吴丹,刘浩东,徐振宇   

  • 出版日期:2026-02-15 发布日期:2026-02-27
  • 作者简介:王秀红 江苏大学科技信息研究所,研究馆员,硕士生导师。研究方向:阅读疗法。作者贡献:确定选题、提出研究思路和框架、论文修改。E-mail: xiuhongwang@ujs.edu.cn 江苏镇江212013
    吴丹 江苏大学科技信息研究所,硕士研究生。研究方向:阅读疗法。作者贡献:数据收集与处理、论文撰写及修改。江苏镇江212013
    刘浩东 江苏大学科技信息研究所,硕士研究生。研究方向:深度学习。作者贡献:数据处理、论文修改。江苏镇江212013
    徐振宇 江苏大学科技信息研究所,专职辅导员。研究方向:阅读疗法。作者贡献:数据收集、论文修改。江苏镇江212013

Construction of a Multimodal Knowledge Graph for Reading Nourishment Aimed at Psychological Development

Wang Xiuhong, Wu Dan, Liu Haodong, Xu Zhenyu   

  • Online:2026-02-15 Published:2026-02-27
  • About author:Wang Xiuhong, Wu Dan, Liu Haodong, Xu Zhenyu

摘要: 构建阅读滋养领域多模态知识图谱,将领域知识表现为实体、属性和关系的网络,实现阅读滋养书方的跨模态整合与可视化,用以进行访问与深度查询,为面向心理建设的阅读推广提供知识保障。本文引入本体,构建面向心理建设的阅读滋养领域书方语义描述模型。首先数据获取和预处理,包括:实证研究、大众和专家推荐的有益于心理建设的书籍、音乐、影视;其次通过知识抽取与挖掘实现相关文本、视频、音频资源的知识重组;最后基于构建的知识图谱,探讨阅读滋养领域大模型的实现路径。面向多模态书方的阅读滋养领域知识语义关联方案具有可行性与适用性,可促进心理建设领域跨场景、跨资源、跨时空的多维知识组织与融合应用。本文知识图谱的构建为阅读滋养领域AI对话知识库构建提供知识保障,为领域大模型提供高质量的外脑知识,可更好地服务于“深化全民阅读”国家战略与社会心理建设需求。

关键词: 心理建设, 阅读滋养, 阅读疗愈, 阅读推广, 多模态, 知识图谱

Abstract: This study aims to construct a multimodal knowledge graph in the field of reading nourishment, representing domain knowledge as a network of entities, attributes, and relationships to enable crossmodal integration and visualization of reading nourishment books. The knowledge graph supports access and indepth querying, thereby providing a knowledge foundation for reading promotion aimed at psychological development. This paper introduces ontologies to build a semantic description model for reading nourishment books oriented towards psychological development. First, data acquisition and preprocessing are conducted. The data sources include empirically validated, publicly recommended, and expertrecommended books, music, and audiovisual materials that are beneficial for psychological development. Second, knowledge extraction and mining techniques are used to reorganize knowledge from relevant texts, videos, and audio resources. Finally, based on the constructed knowledge graph, the paper explores the implementation pathways for large models in the reading nourishment field. The semantic association scheme for the reading nourishment domain for multimodal books is feasible and applicable, promoting multidimensional knowledge organization and fusion applications across scenarios, resources, and spatiotemporal contexts in the field of psychological development. The knowledge graph construted in this study provides a knowledge base for AIbased dialogue repositories in the reading nourishment domain and supplies highquality external knowledge for domainspecific large language models, thereby better serving the national strategy of “deepening national reading” and the societal needs for psychological development.