Port speech control system based on artificial intelligence semantic analysis

Li Lan; Zhiyuan Chen; Huashi Liu

doi:10.1117/12.2646970

7 September 2022 Port speech control system based on artificial intelligence semantic analysis

Li Lan, Zhiyuan Chen, Huashi Liu

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123290K (2022) https://doi.org/10.1117/12.2646970
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

The status of port logistics is becoming more and more important, and the construction of port informatization has become a new trend of logistics development. However, there are some problems in the management and retrieval of relevant knowledge resources in port logistics, such as information islands and lack of semantic interaction, which lead to the differences in the management of relevant knowledge resources and the low quality of retrieval services. Through the IDEA design platform, this paper uses the Jena reasoning package and related toolkits to design a relatively simple autonomous question-answering system, which realizes the reasoning and query of the port logistics container knowledge resource ontology knowledge base and demonstrates the reliability of the research content based on the accuracy of the query results. Experimental tests show that the accuracy of the system is high, and it has practical use and promotion value.

Citation Download Citation

Li Lan, Zhiyuan Chen, and Huashi Liu "Port speech control system based on artificial intelligence semantic analysis", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123290K (7 September 2022); https://doi.org/10.1117/12.2646970

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