Construction of a 5G Wireless Semantic Web-Assisted English Digital Learning Resource Query System

• Published in: Discrete dynamics in nature and society Vol. 2021; pp. 1 - 10
• Main Author: Liu, Lili
• Format: Journal Article
• Language: English
• Published: New York Hindawi 14.12.2021; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: 5G mobile communication; Algorithms; Analysis; Computer networks; Construction; Data analysis; Distance learning; Education; Equipment and supplies; Guards; Knowledge; Knowledge bases (artificial intelligence); Machine learning; Nodes; Ontology; Queries; Query expansion; Resource Description Framework-RDF; Semantic web; Semantics; Students; Teaching; Telecommunication systems; Wireless networks; United Kingdom
• ISSN: 1026-0226; 1607-887X
• DOI: 10.1155/2021/8514944

Based on the 5G wireless semantic network, this paper realizes the construction of the English digital learning resources query system, providing the query and management functions for English digital learning resources, and realizes the integration of functions and resources on the digital learning system and mobile learning system. The platform is put into practical application, and data analysis is conducted to conclude how this system is used and whether it is conducive to improving students’ interest in learning English and their English proficiency. We propose a quality algorithm for 5G wireless networks, which not only captures the characteristics of 5G wireless networks such as local broadcast and node movement but also combines quality predicates as guards with broadcast reception actions, which are used to portray that a node can continue to execute subsequent processes only when the node reception actions satisfy certain conditions, which works together with the node default value mechanism to reduce the impact caused by unreliable links. The query content is interpreted and supplemented at the semantic level by using synonym expansion, and the knowledge base is used to filter the synonym expansion and further expand the synonym expansion query based on knowledge structure, to tap the implicit knowledge points related to the query, and to fuse the two extensions to realize the knowledge-based query expansion. We use 5G wireless semantic web-related technologies to build an English digital learning resource query system with complete functions and good experience across terminals. Through the questionnaire survey and data analysis of the users of this system, it is found that the system is well used and effectively enhances students’ interest in learning English and improves learning efficiency. By applying the experimental comparison method, it is known that this system has improved students’ English proficiency to a certain extent.