计算机科学 ›› 2024, Vol. 51 ›› Issue (6A): 230800150-7.doi: 10.11896/jsjkx.230800150
赖欣, 李思宁, 梁昌盛, 张恒嫣
LAI Xin, LI Sining, LIANG Changsheng, ZHANG Hengyan
摘要： 航空资料汇编是国际民航组织推荐的呈现各国航空信息的主要载体,其中以表格数据形式汇总了大量航空数据与航空运行限制信息。为实现航空汇编资料的智能查询,以及对航空资料汇编中静态数据的挖掘与利用,需要对航空汇编资料中的表格信息予以特征提取与结构化处理。将航空资料汇编中表格信息作为研究对象,提出了一种基于本体驱动的航空情报表格信息结构化抽取方法。首先构建航空情报领域信息的本体框架,实现对领域知识统一规范的描述;其次,利用Document AI对表格文档的布局结构进行研究与预处理,并利用随机森林算法与条件随机场模型进行特征实体提取验证与分析。实验结果表明,所提方法能够有效提取航空情报表格中的特征实体,为航空情报领域静态数据深入挖掘提供参考。
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