Information Processing and Knowledge Mapping Construction of Art Literature Based on Big Data Analysis--Taking Ming and Qing Art History as an Example

This paper first introduces four research methods of knowledge mapping, using the analysis of literature co-words to mine the research literature of Ming and Qing art history. After using Euclidean distance to determine the inter-point and inter-class distance of the literature co-words, the co-words are then analyzed by clustering. Finally, using the Ochia coefficient method and Jaccard index, we obtained the inclusion index and proximity index between two times, and then we determined the strength of association between each associated word. The results show that the following conclusions are obtained by using the co-word analysis method: four keywords reflecting the current situation of traditional art in the Ming and Qing dynasties, such as inheritance and art design; five keywords reflecting the content presented by the art works of the Ming and Qing dynasties and reflecting the main body of the portrait painting and landscape painting; and two keywords focusing on the analysis of the history of the development of the relevant keywords, big data and knowledge mapping. Finally, the art techniques of the Ming and Qing periods are clustered into five types: Jiangnan method, ink and bone method, white drawing method, Hercynian method, and ink writing method. And then it clarifies the general direction and field of Ming and Qing art research during 2019-2023.