| 知识是如何驱动Q/A系统的 |
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| 引用本文： | 李良富,樊孝忠,李宏乔,顾益军. 知识是如何驱动Q/A系统的[J]. 计算机工程与应用, 2004, 40(20): 70-73,98 |
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| 作者姓名： | 李良富 樊孝忠 李宏乔 顾益军 |
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| 作者单位： | 北京理工大学计算机科学与技术系,北京,100081;北京理工大学计算机科学与技术系,北京,100081;北京理工大学计算机科学与技术系,北京,100081;北京理工大学计算机科学与技术系,北京,100081 |
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| 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。
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| 关 键 词： | 自动问答 本体 知识融合 语义相似 |
| 文章编号： | 1002-8331-(2004)20-0070-04 |
How to Drive Question Answering with Ontology-based Fusion Knowledge |
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| Li Liangfu Fan Xiaozhong Li Hongqiao Gu Yijun. How to Drive Question Answering with Ontology-based Fusion Knowledge[J]. Computer Engineering and Applications, 2004, 40(20): 70-73,98 |
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| Authors: | Li Liangfu Fan Xiaozhong Li Hongqiao Gu Yijun |
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| 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. |
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| Keywords: | question answering ontology knowledge fusion semantic similarity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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