摘要
结合云计算、云存储、分布式计算框架、结合主题和及时需求的信息爬取、基于从正例和无标注数据中学习方法的垃圾意见识别、基于本体的食品安全事件信息提取等关键技术,研究设计了全球食品安全信息监控与分析云平台,应用过程中发现其进行食品安全事件预警的效果较好。介绍了云平台的架构和关键技术。
Based on the key techniques such as cloud computing,cloud storage,distributed computing framework,Web crawling whose information is relevant to the subject and timely,the opinion spam identification method which based on learning from positive and unlabeled examples,the food safety incidents' information extraction method which based on the ontology and so on,this paper researched and designed the GFSI cloud which could warn the event of food safety better. It introduced the architecture and the key techniques of the cloud platform.
出处
《计算机应用研究》
CSCD
北大核心
2014年第8期2361-2366,2379,共7页
Application Research of Computers
基金
国家自然科学基金重点项目(91224006)
国家"十二五"科技支撑计划项目(2012BAK17B01-1)
中国科学院"十二五"信息化专项项目(XXH12504)
中国科学院战略性先导科技专项项目(XDA06010202)
关键词
信息监控
事件预警
云计算
大数据
食品安全
information monitoring
event warning
cloud computing
big data
food safety