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应用本体的近岸海域环境监测站点布局优化
引用本文:彭紫荆,,卢毅敏,,黄葵,,刘伟.应用本体的近岸海域环境监测站点布局优化[J].华侨大学学报(自然科学版),2021,0(2):229-237.
作者姓名:彭紫荆    卢毅敏    黄葵    刘伟
作者单位:1. 福州大学 空间数据挖掘与信息共享教育部重点实验室, 福建 福州 350002;2. 福州大学 数字中国研究院(福建), 福建 福州 350002;3. 华南师范大学 地理科学学院, 广东 广州 510631
摘    要:针对近岸海域环境监测站点选址优化知识表示不足和复用程度低的问题,将本体理论应用于近岸海域环境监测站点布局优化中.首先,构建海域环境监测网络领域本体知识库,实现近岸海域环境监测本体中的概念抽取,分析概念的语义关系和空间关系,并针对布局阶段性特征,实现知识库的动态更新;其次,采用Jena推理引擎,完成本体模型的推理;最后,以福建省福州市近岸海域作为研究区域,进行案例分析.结果表明:构建的近岸海域监测领域的本体具有一定的适应性和复用性,并尽可能顾及站点布局细节和布局层次,提高监测数据的代表性,降低站点的冗余度.

关 键 词:环境监测  站点选址  优化布局  本体知识库

Optimized Layout of Environmental Monitoring Stations in Coastal Waters With Ontology Applied
PENG Zijing,' target="_blank" rel="external">,LU Yimin,' target="_blank" rel="external">,HUANG Kui,' target="_blank" rel="external">,LIU Wei.Optimized Layout of Environmental Monitoring Stations in Coastal Waters With Ontology Applied[J].Journal of Huaqiao University(Natural Science),2021,0(2):229-237.
Authors:PENG Zijing  " target="_blank">' target="_blank" rel="external">  LU Yimin  " target="_blank">' target="_blank" rel="external">  HUANG Kui  " target="_blank">' target="_blank" rel="external">  LIU Wei
Institution:1. Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China; 2. Academy of Digital China(Fujian), Fuzhou University, Fuzhou 350002, China; 3. School of Geography, South China Normal University, Guangzhou 510631, China
Abstract:Focus on the problems of insufficient knowledge and low reuse degree of the station selection optimization for environmental monitoring stations in the coastal waters. Ontology theory is applied to optimized the layout of environmental monitoring station in coastal waters. Firstly, build an ontology knowledge base on the marine environment monitoring network, realize the concept extraction from the coastal waters environment monitoring ontology, analyze the semantic and spatial relations of the concepts, according to the characteristics of layout stage, the dynamic updating of knowledge base is realized. Secondly, using the Jena reasoning engine to complete the reasoning of the ontology model. Finally, take the coastal waters of Fuzhou City, Fujian Province as the research area to analyze cases. The results show that the ontology of the coastal waters monitoring field of construction has a certain adaptability and reusability, it can make the station layout consider details and levels as much as possible, improve the representativeness of monitoring data and reduce the redundancy of the station.
Keywords:environmental monitoring  site selection  optimized layout  ontology knowledge base
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