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Authors
Wei, Bo
Guo, Xi
Li, Xiaodi
Wu, Ziyan
Zhao, Jing
Zou, Qiping
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Funding
Funding for this research was provided by:
Key Laboratory of AI and Information Processing (Hechi University) Education Department of Guangxi Zhuang Autonomous Region (2022GXZDSY007)
National Natural Science Foundation of China (61602031)
Fundamental Research Funds for the Central Universities (FRF-IDRY-19-023)
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Article History
Received: 15 March 2023
Revised: 16 September 2023
Accepted: 23 November 2023
First Online: 22 January 2024
Declarations
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: The authors declare that they have no competing interests.
: This work is an expansion of our previous work entitled "Construct Fine-Grained Geospatial Knowledge Graph" which has been accepted by the 7th International Workshop on Graph Data Management and Analysis (GDMA 2023) in conjunction with DASFAA 2023 (April 17, 2022, Tianjin, China). We have added about 50% contents including Section 5 and Section 6.3. Section 5 defines the SGR queries, designs an SGR edge index and proposes an efficient query algorithm. Section 6.3 reports the experimental results of the algorithms proposed in Section 5.
