摘要
现在银行等行业的大型软件拥有非常复杂的结构,并和其他系统有数据交换,这使得需要耗费大量的业务人员做客户端测试工作,业务人员习惯于自然语言描述问题,使得处理分类和抽取这些信息变得困难.本文提出基于语义和本体的自然语言抽取方法,提出软件测试领域规则,并将其组织成数据库.测试数据来自于笔者参与的某银行项目.
Large software in banking and same other industry have very complicated structure and exchange data with other systems nowaday to sort and extract that nature language s. Lots of personnel are needed to do soft testing. It is difficult in testing documents. We present a new approach to extracting Information based on application ontology and semanteme that describes a domain of interest. We extract its constants and keywords, and apply a recognizer to organize extracted constants as attribute values of topless in a generated database schema. Our experiment data come from a bank.
出处
《中央民族大学学报（自然科学版）》
2008年第3期22-25,51,共5页
Journal of Minzu University of China(Natural Sciences Edition)
关键词
语义
本体
信息抽取
软件测试
semanteme
ontology
information extraction
soft testing
