查收查引文献数据的自动分析及其报告内容的自动实现

文章为简化查收查引工作流程,减少人工操作干预,提高查收查引服务质量,将Web of Science核心合集(以下简称WoS)相关的查收查引工作中对文献题录的数据分析、查收查引报告文献列表的更新环节交给程序进行处理。笔者利用Java的Word文档编辑库docx4j结合自编程序对检索到的文献和引证文献题录进行自动分析比较归类并更新Word版的查收查引报告,同时导出文献自引、他引情况等统计数据。实现查收查引工作中人工操作与程序处理部分分离,减少了机械性的人工劳动,提高效率的同时使业务流程更加紧凑简洁。

The Automated Records Analysis and Generation of Database Retrieving and Data Processing Reports

This paper tried to simplify the process of database retrieving and data processing reports workflow and improve its efficiency by using a program to automate the data analysis of Web of Science(WoS for short) and the reports generation. so as to reduce the repeated and exhaust human labor tasks. Using Java and its Word file manipulating library, i.e., docx4j, we wrote a program which could handle the saved records of WoS data and decide the citing papers to be self-citation or not, then automatically generated the report from the Word file template. It could at the same time export several summary files containing the papers' and their citing papers' statistic data which then can be used for reports editing or institutions repository data storing. This program separated the human tasks and the data analysis workflow, which could save quite a lot of time-consuming human interference for some other automated workflow systems, making reports generating process simpler and more compact.