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Journal of Graphics ›› 2026, Vol. 47 ›› Issue (4): 904-914.DOI: 10.11996/JG.j.2095-302X.2026040904

• Industrial Design • Previous Articles     Next Articles

Research on the interactive map design of Shaanxi intangible cultural heritage dough figurines driven by knowledge graph

BAI Xiaobo(), YU Yaqing, QIN Song   

  1. College of Art and Design, Xi’an University of Technology, Xi’an Shaanxi 710054, China
  • Received:2026-01-22 Accepted:2026-04-29 Online:2026-08-31 Published:2026-08-31
  • Contact: BAI Xiaobo
  • Supported by:
    Shaanxi Provincial Social Science Fund(2022J032)

Abstract:

To address practical challenges in Intangible Cultural Heritage (ICH) transmission, such as high cognitive costs, fragmented knowledge systems, and the easy loss of cultural information, a knowledge graph-driven interactive map design method was proposed using Shaanxi dough figurines as a representative case. First, a domain ontology was constructed that covered thirteen types of entity relationships, including inheritors, artworks, techniques, ritual occasions, visual symbols, social meanings, and geographical information, and spatial attribute specifications were incorporated to support geographic retrieval and spatial analysis. Second, a hybrid information extraction framework combining Aho-Corasick dictionary-matching rule templates with a domain-adaptive BERT model was proposed. This framework enabled joint extraction of entities and relations with confidence fusion on small-sample corpora, achieving F1 scores of 0.88 for entity recognition and 0.84 for relation extraction, outperforming both single-rule and single deep-learning models. Subsequently, a knowledge graph of Shaanxi dough figurines integrated with spatial indexes was established, utilizing Neo4j for triplet storage, entity linking, and associative querying. Finally, an interactive navigation map system featuring deep integration of the knowledge graph with geographic information was developed. This system enabled multi-dimensional querying and spatial analysis, including the inheritor distribution, artwork provenance, and technique transmission, while supporting dynamic maintenance of the graph data through addition, deletion, and modification operations. This study constructed an end-to-end solution encompassing knowledge extraction, modeling, storage, and visualization for ICH, effectively enhancing the precision of knowledge organization and the experience of spatial dissemination, thereby providing a reusable practical paradigm for similar ICH projects.

Key words: intangible cultural heritage dough figurines, interactive map, knowledge graph, semantic modeling, information extraction

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