Research on the construction of knowledge graph  based on multi-source heterogeneous geospatial data

Haixia He; Tao Liu; Ping Du

doi:10.1117/12.2682601

1 June 2023 Research on the construction of knowledge graph based on multi-source heterogeneous geospatial data

Haixia He, Tao Liu, Ping Du

Proceedings Volume 12710, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023); 127100I (2023) https://doi.org/10.1117/12.2682601
Event: International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 2023, Changsha, China

Abstract

Geospatial data shows an explosive growth trend, which leads to "massive data and difficult knowledge". Therefore, the transformation from data to spatial knowledge has become a scientific problem to be solved urgently. Firstly, this paper puts forward the technical process and basic ideas of Knowledge graph construction; Secondly, as geospatial knowledge has specific spatio-temporal characteristics, the representation method of geospatial data knowledge is described, and its spatio-temporal relationship is expounded; Finally, this paper takes some geospatial data in Sichuan Province as an example to study the problem of knowledge extraction and multi-source data fusion, and generate the corresponding knowledge graph. This research can promote the integration of geospatial data and semantic web technology, realize the spatialization of web text and the semantics of spatial data, and further improve the intelligent service level.

Citation Download Citation

Haixia He, Tao Liu, and Ping Du "Research on the construction of knowledge graph based on multi-source heterogeneous geospatial data", Proc. SPIE 12710, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 127100I (1 June 2023); https://doi.org/10.1117/12.2682601

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