Atmospheric Lidar Data Storage Model Based on Ontology
Joint Authors
Hua, Deng-xin
Chen, Hao
Zhang, Yikun
Yan, Qing
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Hao& Hua, Deng-xin& Zhang, Yikun& Yan, Qing. 2017. Atmospheric Lidar Data Storage Model Based on Ontology. Scientific Programming،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1203376
Modern Language Association (MLA)
Chen, Hao…[et al.]. Atmospheric Lidar Data Storage Model Based on Ontology. Scientific Programming No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1203376
American Medical Association (AMA)
Chen, Hao& Hua, Deng-xin& Zhang, Yikun& Yan, Qing. Atmospheric Lidar Data Storage Model Based on Ontology. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1203376
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203376