水利信息知识图谱的构建与应用

近年来知识图谱技术作为一种用于描述客观世界中概念、实例及其关系的新方法，得到了人们的广泛关注，利用知识图谱可以有效拓展搜索结果的广度。目前水利行业采用的基于关键字的搜索技术难以利用对象间关系进行信息检索。为此，本文首先提出一种面向水利对象数据的知识图谱构建方法，用以实现水利信息知识图谱的构建。然后，提出基于推理规则的知识推理方法，利用隐藏在水利信息知识图谱中的知识实现智能数据检索。最后，将上述技术应用于水利领域，实现水利信息知识图谱构建与检索系统。通过该系统可以有效利用水利对象之间的关系，充分发挥水利信息资源的价值。

Construction and Application of Water Conservancy Information Knowledge Graph

In recent years, knowledge graph technology has been widely used as a new method for describing concepts, entities and their relationships in the objective world. The use of knowledge graph can effectively expand the breadth of search results. At present, the keyword-based search technology adopted by the water conservancy industry is difficult to use the relationship between objects for information retrieval. To this end, this paper first proposes a knowledge graph construction method for water conservancy object data, which is used to realize the construction of water conservancy information knowledge  graph. Then, a knowledge reasoning method based on inference rules is proposed, and the knowledge hidden in  the knowledge graph of water conservancy information is used to realize intelligent data retrieval. Finally, the above technology is applied in the field of water conservancy, and the water conservancy information knowledge graph construction and retrieval system is realized. Through this system, the relationship between water conservancy objects can be effectively utilized, and the value of water conservancy information resources can be fully utilized.