Preservation and Visualization of Cultural Heritage Knowledge based on Topic Maps and Knowledge Graphs

Liangbing Zhu; Safawi Abdul Rahman; Hazila  Timan

doi:10.21834/e-bpj.v10iSI27.6831

Authors

Liangbing Zhu College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia; Electronic Information Engineering College, Liuzhou Polytechnic University, Liuzhou, Guangxi, China.
Safawi Abdul Rahman College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia,
Hazila Timan College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v10iSI27.6831

Keywords:

Cultural Heritage Knowledge, Knowledge Preservation and Visualization, Topic Maps, Knowledge Graphs

Abstract

Cultural heritage, which embodies a nation's historical background, cultural symbolism, rich connotations, and value systems, bridges the past, present, and future. However, it faces extinction due to urbanization, socioeconomic development, and land reclamation. Therefore, preserving and visualizing cultural heritage knowledge becomes crucial to ensure its sustainability. This paper reports the preservation and visualization of festivals, songs, medicinal practices, and folk traditions of the Jing ethnic group in Southeast China using Knowledge Graphs, Topic Maps, Vue.js, and Neo4j technologies. The resulting knowledge graph provides an interactive and visually engaging platform to enhance understanding and promote sustainable heritage practices.

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