领域知识图谱研究进展及其在水利领域的应用

首先总结现有领域知识图谱的研究现状。其次，介绍领域知识图谱的发展趋势。然后，梳理水利领域知识图谱的构建难点，提出包含知识表示、抽取、融合、推理和存储等关键模块的水利领域知识图谱研究框架，并简要概括上述各模块的研究内容。最后，指出领域知识图谱构建存在的表示形式单一、抽取样本稀少、多源知识冲突、规则表示困难和数据管理低效等问题，认为合理化表示、准确全面抽取、实时性融合、可解释推理和高性能存储是下一步水利知识图谱的研究方向。

Research status of domain knowledge graph and its application in water conservancy

Firstly, this study summarized the current research status of the domain knowledge graph. Secondly, the development trend of the domain knowledge graph was introduced. Then, this study sorted out some difficulties in the construction of water conservancy knowledge graph, proposed a research framework including main modules such as knowledge representation, extraction, fusion, reasoning, and storage, and briefly summarized the research content of each module. Finally, the construction of domain knowledge graph encountered some problems, such as the single representation, the extraction sample sparse, the multi source knowledge conflict, the rule representation difficulty, and the inefficient data management. Therefore, the rationalized representation, accurate and comprehensive extraction, real time fusion, interpretable reasoning, and high performance storage are regarded as the next research direction of water conservancy knowledge graph.