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作 者:江双五[1] 刘惠兰[1] 温华洋[1] 谢伟[1] JIANG Shuang-Wu;LIU Hui-Lan;WEN Hua-Yang;XIE Wei(Anhui Meteorological Information Center,Hefei 230031,China)
出 处:《计算机系统应用》2022年第1期73-82,共10页Computer Systems & Applications
基 金:安徽省气象局新技术集成项目(AHXJ202003)。
摘 要:为提升气象档案管理和社会化利用能力,提出了一种气象记录档案知识图谱构建方法.以安徽省馆藏气象记录档案资源为基础,通过自顶向下的方式设计概念层及层次关系来构建本体库,基于本体库对接实体构建知识模型,分别采取D2RQ、图像识别和定制包装器对不同存储格式的档案进行知识抽取构建数据层,通过建立同义词库等来完成知识融合,利用MySQL和Neo4j数据库分别完成本体库和实体库的存储,并实例展示了构建的气象记录档案知识图谱.本次知识图谱的构建丰富了气象记录档案中蕴含知识单元及其语义关系,主要包括28个核心概念、280个一般概念, 6个本体关系模型, 1万卷以上的档案实体,为气象和档案跨行业知识图谱的构建提供一定的借鉴.To improve the abilities of meteorological archives management and social utilization, this paper proposes a method to construct the knowledge graph of meteorological records archives. With the meteorological records archives resources in Anhui Province, the ontology database is constructed by the design of conceptual layer and hierarchical relationship in a top-down way. A knowledge model is constructed based on the ontology database docking entity.Knowledge is extracted from archives in different storage formats with D2 RQ, image recognition and custom wrapper for data layer construction. A synonym database is established to facilitate knowledge fusion. MySQL and Neo4 j databases are employed for the storage of ontology database and entity database respectively, and an example demonstrates the knowledge graph construction of meteorological records archives. The knowledge graph construction in this research enriches the knowledge units and semantic relations contained in meteorological records archives, mainly including 28 core concepts, 280 general concepts, 6 ontological relationship models, and more than 10 000 volumes of archives entities. It can provide a reference for knowledge graph construction across industries of meteorology and archives.
分 类 号:TP391.1[自动化与计算机技术—计算机应用技术] P4[自动化与计算机技术—计算机科学与技术]
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