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Scientific Programming
Volume 2017 (2017), Article ID 3607068, 8 pages
https://doi.org/10.1155/2017/3607068
Research Article

Atmospheric Lidar Data Storage Model Based on Ontology

1School of Computer Science & Engineering, Xi’an University of Technology, Xi’an 710048, China
2School of Mechanical & Instrumental Engineering, Xi’an University of Technology, Xi’an 710048, China

Correspondence should be addressed to Hao Chen

Received 19 September 2016; Accepted 26 January 2017; Published 6 March 2017

Academic Editor: Alex P. James

Copyright © 2017 Hao Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.