摘要
文章探讨了以本体(ontology)为核心,融合多知识源,驱动自动问答系统的技术方法和应用设计策略,简要介绍了知识在答案析取和实例识别中的作用。在银行领域的业务咨询服务中应用表明,融合多种知识驱动的自动问答系统的性能达到令人满意的水平。认为提高自动问答系统可用性,必须综合利用多种知识资源。
Knowledge fusion is an important means for knowledge-based applications which require multiple heteroge-neous sources.This paper presents a new approach of ontology-based knowledge fusion to drive domain-specific question answering system.And then,it briefly analyzes how it facilitates the answer accessing and case identifying in CBR for question analysis.It applies this approach to the projects of Finance -domain Chinese Automatic Question-Answering Systerm(FAQAS),and obtains a user satisfied result.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第20期70-73,98,共5页
Computer Engineering and Applications
关键词
自动问答
本体
知识融合
语义相似
question answering,ontology,knowledge fusion,semantic similarity
