Research on the construction and application of event based electromagnetic space big data knowledge graph

Dongsheng Li; Bing Ma; Yuanzhong Ren; Kan Li

doi:10.1117/12.2671438

28 April 2023 Research on the construction and application of event based electromagnetic space big data knowledge graph

Dongsheng Li, Bing Ma, Yuanzhong Ren, Kan Li

Author Affiliations +

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126103B (2023) https://doi.org/10.1117/12.2671438
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In view of the large volume and complex structure of electromagnetic space big data, it is difficult to store and retrieve spectrum data using traditional databases and knowledge graph. Due to the abstractness and space-time characteristics of electromagnetic spectrum data, the use of event forms can better represent the spectrum data, and also make people and machines better understand. Based on the knowledge graph and the concept of events, this paper constructs the spectrum event knowledge graph (EMS-DEKG) and compares several methods of spectrum data retrieval through experiments, which shows that the EMS-DEKG method improves the stability and timeliness of electromagnetic space big data storage and retrieval.

Citation Download Citation

Dongsheng Li, Bing Ma, Yuanzhong Ren, and Kan Li "Research on the construction and application of event based electromagnetic space big data knowledge graph", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126103B (28 April 2023); https://doi.org/10.1117/12.2671438

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