Research Article

Research on the Construction of Revolutionary Cultural Heritage Knowledge Graph and the Application of Digital Cultural Innovation

Wanshan LiInstitute of Hunan University* Zixi WangInstitute of Hunan University

* Corresponding author: [email protected]

Abstract

The digital innovative activation and application of traditional revolutionary cultural heritage in China is a targeted cultural heritage protection work, but designers find it difficult to use existing knowledge data to develop resource related creative designs. The genetic value of memes is essential in the innovation and activation of revolutionary cultural heritage. This paper proposes a collaborative system of knowledge graph and creative design for the digital innovative activation and application of revolutionary cultural heritage. Firstly, the entity units and relational logic of the knowledge graph are defined based on the concept of memes. Then, the digital creative design model is formed by integrating knowledge graph results, and the design data of memes is extracted for reorganization and translation, thereby the overall grasp, management, and application capability of designers on revolutionary cultural heritage knowledge data could be enhanced. Ultimately, the project of the Key Component of National Long March Cultural Park in Guizhou is taken as an application case to verify the hypothesis. The results indicate that this method can be effectively used to the knowledge integration of revolutionary cultural heritage digitalization and the application of meme inheritance, which promotes the further activation and application of digital innovation. This study could contribute to the development of digital innovation theory for the cultural industry.

Keywords: Digital cultural innovation; Revolutionary cultural heritage; Meme; Knowledge graph
Published: May 21, 2024
DOI: 10.54254/2753-7064/34/20240126
Volume: CHR Vol.34
pp. 93-99
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References

  1. Jia, X. (2018). The concept and definition of revolutionary cultural relics. Journal of Beijing Normal University (Social Sciences), 06, 141-145. doi:10.3969/j.issn.1002-0209.2018.06.015.
  2. Jiang, A., Cheng, B., Zheng X. & Yao, F. (2020). The application of long-term preservation metadata in the digital protection project of cultural. Digital Library Forum, 06, 2-7. doi:10.3772/j.issn.1673-2286.2020.06.001..
  3. Liu, Y. (2020). Serving the overall situation opening a new situation exploring a new pattern of digital interconnection for the protection and utilization of cultural relics. People's Tribune, 25, 6-8.
  4. Kwan, D. H., & Kwan, J. M., (2017). Empowering cultural preservation in China through participatory digitization. Journal of Archaeological Science: Reports, 12, 161–164. doi:10.1016/j.jasrep.2017.01.043.
  5. Sharma, M. K., & Siddiqui, T. J., (2016). An Ontology Based Framework for Retrieval of Museum Artifacts. Procedia Computer Science, 84, 169-176. doi:10.1016/j.procs.2016.04.083.
  6. Kiourt, C., Koutsoudis, A., & Pavlidis, G. (2016). DynaMus: A fully dynamic 3D virtual museum framework. Journal of Cultural Heritage, 22, 984-991. doi:10.1016/j.culher. 2016.06.007.
  7. Dawkins, R. The Extended Selfish Gene, CITIC Press Corporation, Beijing, 1998.