Title: Intelligent retrieval method of book resources in smart library based on RFID

Authors: Wei Huang; Jing Ling

Addresses: Hunan City University, Yiyang, 413000, China ' Xiangnan University, Chenzhou, 423000, China

Abstract: In view of the problems in the existing methods such as large retrieval error, low data positioning accuracy, and long retrieval time, this paper proposes an intelligent retrieval method for book resources in smart libraries based on RFID. First, complete the rough extraction of the features of the book resources in the smart library. Then, set the length rule of book resource features, eliminate ambiguous data, determine the similarity of book resource features, and merge similar features through similar probability mapping. Finally, complete the feature data authentication, set the tag with RFID tag technology, locate the tag data location, build the book resource index tree, and determine the intelligent retrieval model. The test results show that the proposed method can reduce the intelligent retrieval error of book resources in smart libraries, improve the accuracy of data location, and reduce the retrieval time cost.

Keywords: RFID; smart library; book resources; intelligent retrieval; label end; participle dictionary.

DOI: 10.1504/IJRIS.2025.145052

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.1, pp.32 - 39

Received: 27 Feb 2023
Accepted: 27 Apr 2023
Published online: 18 Mar 2025 *

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