摘要
现有的智能问答系统(IQAS,Intelligent Question-Answer System)局限于针对简单问题寻找最适合的答案,无法满足用户日益复杂的个性化问题要求。基于需求元描述框架RGPS,经过需求识别、需求分析和需求验证等手段,将用户的个性化问题转换为一种问答服务需求,然后通过动态挖掘Internet上软件服务所构成的服务管理库,并结合基于服务关系网络的流程服务组合思想,最终形成能够回答此类问题的智能问答服务。构建了面向交通领域的按需智能回答原型系统Uniponse,验证了上述方法的有效性和可行性。
The current intelligent question-answer systems（IQAS） are restricted to find the best answer for a simple question.They are unable to meet increasingly complex personalized question-answer demands of users＇.This paper transformed the user question to question-answer service requirement based on the requirement meta-description framework RGPS,which passes through requirement recognition,requirement analysis,requirement verification and so on.Then a local services database constructed by dynamically mining software services in internet was used to generate the intelligent question-answer service,which could answer some similar questions,with process services composition technology based on services relationship network.We developed an IQAS Uniponse in the traffic domain which verifies the effectiveness and feasibility of our method.
出处
《计算机科学》
CSCD
北大核心
2011年第1期181-184,194,共5页
Computer Science
基金
国家973项目(2007CB310802)
国家教育部博士点基金(20070486064)资助
