面向文化遗产数据的结构化处理与交互式可视分析平台设计与实现——以中国出土青铜器数据为例

Design and Implementation of a Structured Processing and Interactive Visual Analytics Platform for Cultural Heritage Data—A Case Study of Chinese Excavated Bronze Data

摘要: 大量文化遗产资料至今仍以图像、扫描文档等非结构化形式保存，难以直接用于统计分析和关系探索。本文以中国出土青铜器数据为对象，将这类资料的处理分为三个环节：先借助OCR和文本抽取把原始文献整理成可计算的二维数据，再按时间、空间、类别组织成面向分析的字段结构，最后通过交互式可视分析平台完成多维展示与关联发现。该流程在2310件青铜器记录上得到验证，年代分布、地域分布、器型构成等分析都能落到具体数据上，为文化遗产数据的深度利用提供了一条可行的路径。

Abstract: Large volumes of cultural heritage material remain preserved in unstructured forms such as images and scanned documents, which cannot be directly used for statistical analysis and relational exploration. Taking bronze artifacts excavated in China as its research subject, this paper decomposes the handling of such materials into three stages. First, OCR and text extraction convert the raw literature into computable tabular data. Second, the data are organized into analysis-oriented fields of time, space, and category. Third, an interactive visual analytics platform supports multi-dimensional display and relational discovery. The workflow was validated on 2310 bronze records, where analyses of temporal distribution, regional distribution, and vessel-type composition could all be grounded in concrete records, offering a feasible path for the in-depth utilization of cultural heritage data.