基于区块链技术的图书馆隐性知识采集方法研究  

Research on library tacit knowledge collection method based on block chain technology

作　　者：公维臣 GONG Weichen(Shandong Agricultural University,Taian 271018,China)

机构地区：[1]山东农业大学,山东泰安271018

出　　处：《现代电子技术》2020年第8期41-43,48,共4页Modern Electronics Technique

基　　金：山东省自然科学基金项目(ZR2015FL009)。

摘　　要：针对传统图书馆隐性知识采集方法采集的数据点中隐性知识数据点少的问题,提出一种基于区块链技术的图书馆隐性知识采集方法。首先将图书馆知识来源整合为一个大网络,计算网络各节点的关联强度,从大到小排列关联强度值,得出可采集的图书馆知识集合,数据净化处理图书管理员Web访问流程,不断补充路径数据,整合为全部图书馆知识数据,使用区域块技术筛选全部的图书馆知识数据,并储存到隐性知识模块中,评价隐性知识模块,得到最终的图书馆隐性知识数据,图书馆隐性知识采集结束。实验结果表明,与两种传统方法相比,基于区块链技术的图书馆隐性知识采集方法采集到的隐性知识数据点更多,更适合图书馆隐性知识的采集。In allusion to the problem that there are only few tacit knowledge data points in the data points collected by the traditional library tacit knowledge acquisition method, a library tacit knowledge collection method based on block chain technology is proposed. The library knowledge sources are integrated into a large network to calculate the association strength of each node in the network,and then the association strength values are arranged from large to small to obtain the collectible knowledge collection of a library. The data purification processing is performed for the WEB access process of librarians. The path data is supplemented continuously,which are integrated into all the library knowledge data. All the library knowledge data are screened by means of the area block technology and stored in the tacit knowledge module. The tacit knowledge module is evaluated to obtain the final library tacit knowledge data,and then the collection of library tacit knowledge is finished. The experimental results show that,in comparison with the two traditional methods,the library tacit knowledge acquisition method based on the block chain technology can collect more tacit knowledge data points,which is more suitable for the library tacit knowledge acquisition.

关 键 词：图书馆 隐性知识采集 区块链技术 知识数据筛选 关联强度计算 对比验证 

分 类 号：TN919-34[电子电信—通信与信息系统] G250[电子电信—信息与通信工程]