面向情报分析的普适知识计算平台研究与实现

Research and Implementation of General Knowledge Computing Platform for Intelligence Analysis

[目的/意义]解决当前大数据情报分析工作平台普遍存在的高度定制化、普适性差、使用难度大等问题,更好地满足大数据情报分析工作的需求,提高情报分析工作效率。[方法/过程]通过分析大数据情报分析工作的方法和工具,设计了适用于大数据情报分析工作的流程和框架,并开发了面向大数据情报分析的普适知识计算平台。[结果/结论]平台预置了多种大数据分析算法和情报分析场景,并且支持用户自定义算法和流程,可以有效地帮助情报分析人员快速完成各类情报分析工作。

[Purpose/significance]To solve the problems such as highly customized,poor universality and great difficulty in use that are common in the current working platforms of big data intelligence analysis,so as to better meet the needs of big data intelligence analysis work and improve the efficiency of intelligence analysis work.[Method/process]By analyzing the methods and tools of intelligence analysis work under the background of big data,the process and framework for big data intelligence analysis are designed,and a universal knowledge computing platform for big data intelligence analysis is developed.[Result/conclusion]The platform presets a variety of big data analysis algorithms and intelligence analysis scenarios,and supports user-defined algorithms and processes,which can effectively help intelligence analysts to complete all kinds of intelligence analysis quickly.