Research on the Application of Artificial Intelligence-Driven Cross-Modal Semantic Communication System in the Tourism Industry

Dandan Lu, Xue Gong () and Liudan Qiu
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Dandan Lu: Guangxi University of Finance and Economics, School of Business Administration
Xue Gong: Guangxi University of Finance and Economics, School of Business Administration
Liudan Qiu: Guangxi University of Finance and Economics, School of Business Administration

A chapter in Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024), 2024, pp 29-39 from Springer

Abstract: Abstract In response to the current research gaps in cross-modal semantic communication within the tourism industry, this study proposes the architecture, core concepts, key technologies, practical applications, and challenges of a cross-modal semantic communication system driven by artificial intelligence. The aim of this research is to further advance the theoretical and applied studies in this new direction within the tourism industry. It is anticipated that this work will have a positive impact on the fields of multimedia communication and information processing, particularly in the application scenarios of the tourism industry.

Keywords: Tourism industry; Cross-modal semantic communication; Artificial intelligence; Semantic association (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-636-9_5

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