人民长江2024，Vol.55Issue(6)：234-239,6.DOI:10.16232/j.cnki.1001-4179.2024.06.032
长江流域取水许可知识图谱问答系统
Knowledge graph Q&A system of water intake permission based on pre-trained language model in Changjiang River Basin
摘要
Abstract
With the continuous increase of management requirements in the field of water intake permission,the traditional in-formation management system of water intake permission is difficult to meet the complex information retrieval needs,which re-stricts the improvement of meticulous management in water resources.A knowledge graph of water intake permission in the Changjiang River Basin is established to break the information silo between systems and improve the efficiency of information re-trieval in water intake permission,and a knowledge graph Q&A including entity mention recognition,entity link,relational matc-hing and other functions is proposed based on a large-scale pre-trained language model.According to the characteristics of data in water intake permission domain,BM25 algorithm is used to sort candidate entities to construct a knowledge base question an-swering system in the Changjiang River Basin,and a Web client is developed based on BS framework.The experiment shows that the system achieves an accuracy rate of 90.37%on the test set,which can support the retrieval needs in the field of water intake permission in the Changjiang River Basin.关键词
取水许可/知识图谱/预训练语言模型/问答系统/水资源/长江流域Key words
water intake permission/knowledge graph/pre-trained language model/question answering system/water re-sources/Changjiang River Basin分类
建筑与水利引用本文复制引用
曾德晶,张军,曹卫华,管党根,许婧,黎育朋..长江流域取水许可知识图谱问答系统[J].人民长江,2024,55(6):234-239,6.基金项目
湖北省自然科学基金创新群体项目(2020CFA031) （2020CFA031）
