计算机科学
情报检索
本体论
帧(网络)
向量空间模型
数据挖掘
软件
特征提取
数据库
人工智能
操作系统
电信
认识论
哲学
标识
DOI:10.1109/icmtma54903.2022.00243
摘要
In order to improve the retrieval efficiency and accuracy of the student status file management system, this paper designs a student status file information retrieval system based on SSM framework. Based on the spring structure, the overall structure and frame of the management system are designed. The hardware system mainly includes information input module, information management module and information retrieval module. The software system uses the ontology semantic similarity method to calculate the feature vector and classification extraction threshold of the information of the student status file, realizes the classification extraction of the information of the student status file, and improves the efficiency and precision of the information retrieval of the student status file. The experimental results show that the designed system has high retrieval efficiency and precision, and can keep stable running state. The highest retrieval accuracy of the system can reach 96% .
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