首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于本体的自然语言信息抽取在软件测试中的应用
引用本文:刘启贤,何伟,樊磊,于在洋.基于本体的自然语言信息抽取在软件测试中的应用[J].中央民族大学学报(自然科学版),2008,17(3):22-25.
作者姓名:刘启贤  何伟  樊磊  于在洋
作者单位:1. 中央民族大学,理学院,北京,100081
2. 首都师范大学,教育技术系,北京,100806
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.

关 键 词:语义  本体  信息抽取  软件测试

The Application of Ontology-based Natural Language Information Extraction for Software Testing
LIU Qi-xian,HE Wei,FAN Lei,YU Zai-yang.The Application of Ontology-based Natural Language Information Extraction for Software Testing[J].Journal of The Central University for Nationalities(Natural Sciences Edition),2008,17(3):22-25.
Authors:LIU Qi-xian  HE Wei  FAN Lei  YU Zai-yang
Institution:LIU Qi-xian , HE Wei , FAN Lei , YU Zai-yang ( 1. College of Science, Central University for Nationalities, Beijing 100081, China ; 2. Department of Educational Technology, Capital Normal University, Beijing 100806, China )
Abstract: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.
Keywords:semanteme  ontology  information extraction  soft testing
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号