Rapid Retrieval of Geospatial Data Considering Semantic Knowledge

LIU Junnan; LIU Haiyan; CHEN Xiaohui; GUO Xuan; ZHAO Qingbo; LIU Jianxiang; KANG Lei

doi:10.13203/j.whugis20200058

Volume 47 Issue 3

Mar. 2022

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Geomatics and Information Science of Wuhan University > 2022 > 47(3): 463-472. > DOI: 10.13203/j.whugis20200058

LIU Junnan, LIU Haiyan, CHEN Xiaohui, GUO Xuan, ZHAO Qingbo, LIU Jianxiang, KANG Lei. Rapid Retrieval of Geospatial Data Considering Semantic Knowledge[J]. Geomatics and Information Science of Wuhan University, 2022, 47(3): 463-472. DOI: 10.13203/j.whugis20200058

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Rapid Retrieval of Geospatial Data Considering Semantic Knowledge

1.
School of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China
2.
Institute of Geospatial Information, University of Information Engineering, Zhengzhou 450001, China

Funds:

The Natural Science Foundation of Henan Province 182300410005

the National Natural Science Foundation of China 41801313

More Information

Author Bio:
LIU Junnan, PhD candidate, specializes in spatial-temporal data mining and knowledge graph. E-mail: 6929423@qq.com
Corresponding author:
LIU Haiyan, PhD, professor. E-mail: liu2000@vip.sina.com
Received Date: April 06, 2020
Published Date: March 04, 2022

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Abstract

Abstract

Objectives In the era of big data, geospatial information resources are constantly increasing. However, the current knowledge bases are difficult to take into account the semantic knowledge as well as to retrieve geospatial data quickly. Therefore, it is urgent to introduce ontology technology to improve the access speed of geospatial data on the basis of semantic knowledge so as to accurately obtain the information needed by users.
Methods We propose a fast retrieval method that takes into account the semantic knowledge of geospatial data based on ontology. Firstly, a semantic knowledge base is constructed through encoding rules of generic place name, geospatial data and Baidu encyclopedia open source data. Secondly, we design some query rewrite rules and mapping methods between semantic knowledge and spatial database. So that we can construct retrieval statements based on place names automatically.
Results The feasibility of the fast retrieval method is verified through the application of an example and the comparative analysis of efficiency and quality.
Conclusions Based on the semantic information of geospatial data, we can automatically construct the structured query language(SQL) retrieval statement only by geographical entity name, reduce the user's dependence on data storage method and SQL grammar rules, and effectively improve the retrieval efficiency and intelligence of the system.
- data retrieval,
- geospatial data,
- semantic knowledge,
- ontology,
- query reformulation

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References (32)

References

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