计算机科学 ›› 2020, Vol. 47 ›› Issue (12): 131-138.doi: 10.11896/jsjkx.191000161
相颖, 冯钧, 夏珮珮, 陆佳民
XIANG Ying, FENG Jun, XIA Pei-pei, LU Jia-min
摘要: 目前在利用水利领域数据库构建知识图谱的过程中发现水利空间关系词的提取存在以下问题:数据库中水利对象空间关系词较少难以满足查询需要;水利对象间的关系类型复杂依靠人工构建太过费力.为了解决上述问题文中首先从专业性强的高质量水利公文文本中提取空间关系词形成种子集;然后通过外部词典进行空间关系词的扩展并结合语料提取面向水利空间关系词的句法模式;最后通过泛化后的句法模式对大规模水利文本数据进行空间关系词提取生成空间关系元组再将其作为种子集重复上述步骤.该方法使用少量的人工操作便可从语料中获得大量空间语义句法模式以及空间关系元组逐步扩展构建并最终形成水利空间关系词词典成为扩充水利对象知识图谱、提升智能检索的准确率的重要支撑.
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