主流Meta分析软件功能及其在领域知识发现的拓展应用研究

Using Meta-analysis Software for Domain Knowledge Discovery

【目的】研判Meta分析的未来发展趋势,为基于Meta分析的领域知识发现提供借鉴。【方法】梳理对比国际常用的Meta分析软件的特点及其计算、绘图等功能的差异,并以资源环境学科领域为例,提出适合具体领域知识发现的Meta分析工具应具有的基本特点。【结果】通过对具体领域分析,开发一套操作界面规范、运算步骤简单、分析结果准确、面向对象大众的文献综合集成工具的基本构想。【局限】并未通过构建平台系统地实施,充分验证设想的可行性;Meta分析固有的一些弱点如"苹果"、"橘子"问题,无法在基于Meta分析的领域知识发现中有效解决。【结论】需基于Meta分析构建领域知识发现的平台,以指导领域文献知识发现的拓展应用。

[Objective] We try to predict the future trends of Meta-analysis methodology, and improve the performance of domain knowledge discovery tasks. [Methods] First, we reviewed the features of popular Meta-analysis software, as well as their differences in computing and graphics functions. Second, we designed a Meta-analysis tool for the resources and environment science. [Results] We developed a new concept for public oriented Meta-synthesis tool with standardized interface, simplified procedure and accurate results. [Limitations] We did not examine the feasibility of the new tool on a working platform, The inherent weaknesses of Meta-analysis cannot be avoided in the domain knowledge discovery. [Conclusions] We need to build a platform for the domain knowledge discovery with Meta-analysis technology and then expand its application in literature discovery.