Atmospheric Lidar Data Storage Model Based on Ontology

Joint Authors

Hua, Deng-xin
Chen, Hao
Zhang, Yikun
Yan, Qing

Source

Scientific Programming

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

Mathematics

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