卡塔阿诺:一个古老的目录注释器,用于通过推清理注释
IEEE transactions on visualization and computer graphics
|September 16, 2024
概括
研究人员开发了CataAnno,该系统有助于高效地注释中国古代目录. 它使用推和相关观点来提高准确性和一致性,减少对专业知识的需求.
科学领域:
- 数字人文学科 数字人文学科
- 信息科学 信息科学 信息科学
- 历史文献表 历史文献表
背景情况:
- 古典文献学研究涉及分析历史目录以了解文化发展.
- 对古代中国目录进行注释是复杂的,需要专门的领域专业知识.
- 现有的注释方法可能耗时且容易出现不一致.
研究的目的:
- 引入一个高效的系统,CataAnno,用于注释中国古代目录.
- 为了提高目录注释过程的准确性,一致性和效率.
- 减少对数据注释的专业知识的依赖.
主要方法:
- 开发了CataAnno系统,包括交叉链接的视图和推算法.
- 实施了一种从专家注释和先前数据中学习的推方法.
- 设计了方便的注释交互和可视化,以使用户更容易理解.
主要成果:
- 在CataAnno中,注释效率和准确性得到了提高.
- 该系统的推和可视化帮助用户理解输入相关性.
- 专家反证实了该系统能够减轻对专业知识的需求.
结论:
- CataAnno显著提高了古代目录注释的效率和质量.
- 该系统通过降低知识障碍来民主化注释过程.
- 这项工作通过改善历史数据的可访问性,为数字人文科学做出了贡献.
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