Title: Ontology-based hierarchical retrieval model for digital English teaching information

Authors: Zhihong Xiao

Addresses: Changsha Social Work College, Changsha 410004, China

Abstract: In order to overcome the low recall and precision of traditional English teaching information retrieval model, this paper designs a hierarchical retrieval model of digital English teaching information based on ontology. TF-IDF and simhash algorithm are used to judge the similarity of digital English teaching database documents and calculate the weight of English teaching information retrieval keywords. Using the relationship between different retrieval concepts to build a semantic network diagram, a hierarchical retrieval model of digital English teaching information was built, the retrieval results according to the user's interest were adjusted, and more accurate retrieval results are obtained. The experimental results show that the recall rate of the model is more than 94%, the precision rate is more than 96%, and the average retrieval time is only 0.44s, which shows that the recall rate and precision rate of the design model are higher, and the retrieval time is shorter.

Keywords: ontology; digital; English teaching information; hierarchical retrieval; TF-IDF; simhash algorithm.

DOI: 10.1504/IJCEELL.2023.129232

International Journal of Continuing Engineering Education and Life-Long Learning, 2023 Vol.33 No.2/3, pp.337 - 350

Received: 23 Apr 2021
Accepted: 16 Jul 2021
Published online: 01 Mar 2023 *

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