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  • 标题:Atmospheric Lidar Data Storage Model Based on Ontology
  • 本地全文:下载
  • 作者:Hao Chen ; Dengxin Hua ; Yikun Zhang
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2017
  • 卷号:2017
  • DOI:10.1155/2017/3607068
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Ontology is an effective method to solve the problem of heterogeneous data in lidar measurements. Due to complexity and diversity of data structure, traditional method of ontology storage cannot be directly applied to lidar data. In this work, we proposed a novel ontology storage model based on the object-oriented data model, in which the mapping mechanism was established from ontology of lidar data to the object-oriented data model. A new storage model of lidar data is then obtained by a combination of the characteristics of lidar data and the syntax of OWL DL. Compared to the traditional method of ontology storage, we believe that the new storage model can better serve the sharing of lidar data.
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