节点文献
知识是如何驱动Q/A系统的
How to Drive Question Answering with Ontology-based Fusion Knowl edge
【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。
【Abstract】 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.
【关键词】 自动问答;
本体;
知识融合;
语义相似;
【Key words】 question answering; ontology; knowledge fusion; semantic similarity;
【Key words】 question answering; ontology; knowledge fusion; semantic similarity;
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2004年20期
- 【分类号】TP18
- 【被引频次】12
- 【下载频次】198