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作 者:杜文龙 柴源 李慧 DU Wenlong;CHAI Yuan;LI Hui(Library of Xi’an Aeronautical Institute,Xi’an 710077,China)
出 处:《电子设计工程》2024年第1期152-157,163,共7页Electronic Design Engineering
基 金:陕西省教育厅科研计划项目(19JK0334)。
摘 要:针对已有方法用于揭示海量文献数据背后的隐性关联知识的效果不甚理想的现状,设计了支持对海量文献数据进行数据清洗、语义揭示、深度处理和高效分析的系统功能架构。针对数据的分析过程设计PM模型,选取PC-value、Density和ASS作为数据处理算法。选取样本文献数据对系统的功能框架和过程模型进行多维测试。测试结果表明,系统功能架构合理,数据处理逻辑关系清晰,结果控制和输出效果良好;PM模型的关联链条清晰,聚类效果显著,揭示的演化路径规律明显,系统功能框架和PM模型测试结果均达到预期效果。Aiming at the current situation that the existing methods are not very effective in revealing the tacit related knowledge behind the massive literature data,a system functional architecture is designed to support data cleaning,semantic disclosure,deep processing and efficient analysis of the massive literature data.The PM model is designed for the data analysis process,and PC⁃value,Density and ASS are selected as the data processing algorithms.Select the sample literature data to test the functional framework and process model of the system.The test results show that the system functional architecture is reasonable,the logical relationship of data processing is clear,and the result control and output effect are good;The correlation chain of PM model is clear,the clustering effect is significant,the evolution path law revealed is obvious,and the system functional framework and PM model test results have reached the expected effect.
关 键 词:系统架构 PC-value Density ASS 数据建模 数据处理
分 类 号:TN02[电子电信—物理电子学]
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