Understanding subjects contained in Dunhuang mural images for deep semantic annotation

Abstract

Purpose

The purpose of this paper is to understand the subjects contained in the Dunhuang mural images as well as their relation structures.

Design/methodology/approach

This paper performed content analysis based on Panofsky’s theory and 237 research papers related to the Dunhuang mural images. UNICET software was also used to study the correlation structures of subject network.

Findings

The results show that the three levels of subject have all captured the attention of Dunhuang mural researchers, the iconology occupy the critical position in the whole image study, and the correlation between iconography and iconology was strong. Further analysis reveals that cultural development, production, and power and domination have high centralities in the subject network.

Research limitations/implications

The research samples come from three major Chinese journal databases. However, there are still many authoritative monographs and foreign publications about the Dunhuang murals which are not included in this study.

Originality/value

The results uncover the subject hierarchies and structures contained in the Dunhuang murals from the angle of image scholarship which express scholars’ intention and contribute to the deep semantic annotation on digital Dunhuang mural images.

Citation

Wang, X., Song, N., Zhang, L. and Jiang, Y. (2018), "Understanding subjects contained in Dunhuang mural images for deep semantic annotation", Journal of Documentation, Vol. 74 No. 2, pp. 333-353. https://doi.org/10.1108/JD-03-2017-0033