摘要
[目的/意义]根据卫星情报较为稀缺、保密性强、获取困难的特点,利用大数据背景下的公开信息资源,获取与分析卫星情报。[方法/过程]首先使用爬虫技术搜集公开卫星信息,其次使用CiteSpace软件与自然语言处理技术分别处理科技文献数据与主题网页数据,最后对科学知识图谱进行分析并构建语义网络知识图谱。[结果/结论]提出一种基于知识图谱的情报获取与分析方法,该方法充分利用网络公开信息资源,可分析出卫星领域的研究热点、研究趋势、重要研究机构等信息,并可以知识图谱形式清晰直观展示了卫星属性信息与关联性,对卫星情报获取与分析研究具有重要意义。
[Purpose/significance]According to the characteristics of the scarcity of satellite intelligence the paper is to use the public information resources under the background of big data to obtain and analyze satellite intelligence.[Method/process]Firstly the paper uses crawler technology to collect public satellite information.Secondly the paper uses CiteSpace software and natural language processing technology to process scientific and technological literature data and subject web page data respectively.Finally the paper analyzes the scientific knowledge map and constructs the semantic network knowledge.[Result/conclusion]The paper proposes an information acquisition and analysis method based on knowledge map.This method makes full use of the network public information resources can analyze the research hotspots research trends important research institutions and other information in the satellite field and can clearly and intuitively display the satellite attribute information and relevance in the form of knowledge map which is of great significance to the research of satellite information acquisition and analysis.
作者
刘舆
曾德贤
胡远方
周尚辉
Liu Yu;Zeng Dexian;Hu Yuanfang;Zhou Shanghui(College of Graduate Space Engineering University,Beijing 101416;31627 PLA Troops,Shenzhen Guangdong 518109;66736 PLA Troops,Beijing 100144;95806 PLA Troops,Beijing 100076)
出处
《情报探索》
2021年第11期1-7,共7页
Information Research
关键词
卫星情报
科学知识图谱
语义网络
公开信息
satellite intelligence
mapping knowledge domains
semantic network
public information