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作 者:彭紫荆 卢毅敏[1,2] 黄葵 刘伟[3] PENG Zijing;LU Yimin;HUANG Kui;LIU Wei(Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350002,China;Academy of Digital China(Fujian),Fuzhou University,Fuzhou 350002,China;School of Geography,South China Normal University,Guangzhou 510631,China)
机构地区:[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
出 处:《华侨大学学报(自然科学版)》2021年第2期229-237,共9页Journal of Huaqiao University(Natural Science)
基 金:国家重点研发计划项目(2017YFB0503500)。
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.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.
分 类 号:X834[环境科学与工程—环境工程]
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