Service-oriented Architecture of Intelligent Environment for Historical Records Studies

Ivanovs, Aleksandrs; Varfolomeyev, Aleksey

doi:10.1016/j.procs.2017.01.062

Cited by 3 publications

(1 citation statement)

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“…5 Meanwhile, Latvian scholars Ivanovs and Varfolomeyev and Dutch scholars Schreiber et al used web technology to develop a web service platform and explored the intelligent environment of cultural heritage service utilization. 6 Korean scholars Kim et al used machine learning technology to determine the complex relationships between tasks of various classes in a specific historical period through the network of historical figures. 7 Judging from results in related fields, the semantic analysis and visualization of historical archives in an intelligent way are gradually moving from statistical description to knowledge mining.…”

Section: Introductionmentioning

confidence: 99%

Text Analysis and Visualization Research on the Hetu Dangse During the Qing Dynasty of China

Wang

Jing-yu

et al. 2021

ITAL

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In traditional historical research, interpreting historical documents subjectively and manually causes problems such as one-sided understanding, selective analysis, and one-way knowledge connection. In this study, we aim to use machine learning to automatically analyze and explore historical documents from a text analysis and visualization perspective. This technology solves the problem of large-scale historical data analysis that is difficult for humans to read and intuitively understand. In this study, we use the historical documents of the Qing Dynasty Hetu Dangse,preserved in the Archives of Liaoning Province, as data analysis samples. China’s Hetu Dangse is the largest Qing Dynasty thematic archive with Manchu and Chinese characters in the world. Through word frequency analysis, correlation analysis, co-word clustering, word2vec model, and SVM (Support Vector Machines) algorithms, we visualize historical documents, reveal the relationships between functions of the government departments in the Shengjing area of the Qing Dynasty, achieve the automatic classification of historical archives, improve the efficient use of historical materials as well as build connections between historical knowledge. Through this, archivists can be guided practically in historical materials’ management and compilation.

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Section: Introductionmentioning

confidence: 99%