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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:

第30卷

期数:

2009年第2期

页码:

155-157

栏目:

出版日期:

2009-03-20

文章信息/Info

Title:

Design and Implementation of an Automatic Question-Answer System Based on Lucene Full-Text Retrieval Model

文章编号:

1000-5013(2009)02-0155-03

作者:

林晓丹; 陆松年

华侨大学信息科学与工程学院; 上海交通大学电子信息与电气工程学院

Author(s):

LIN Xiao-dan¹;  LU Song-nian²

1.College of Information Science and Engineering, Huaqiao University, Quanzhou 362021, China; 2.School of Electronic Information and Engineering, Shanghai Jiaotong University, Shanghai 200240, China

关键词:

Lucene;  可扩展Markup语言;  中文分词;  自动答疑

Keywords:

Lucene;  extensible Markup language;  Chinese word segmentation;  auto-answer

分类号:

TP311.52

DOI:

10.11830/ISSN.1000-5013.2009.02.0155

文献标志码:

A

摘要:

提出一种基于自然语言提问的自动答疑系统的设计思想,引入Lucene的全文检索模型.采用浏览器/服务器模式,设计并实现基于Lucene的自动答疑系统,通过对提问信息进一步的加工和提取,可实现浏览、搜索、提问等功能.该系统能够胜任一定领域内的,基于自然语言的自动答疑需求,并充分考虑了系统的开放性和可维护性的要求.然而,知识库还不具备自动学习功能,且对用户问题只进行简单的关键词拆分,没有进行语义分析,这使得系统还不具有完全的智能化特性.

Abstract:

This paper proposes a design ideal of an automatic question-answer system by adopting Jakarta Lucene full-text retrieval model.Built on a browser/server mode,this system is designed for information retrieval by analyzing keywords contained in the questions and avails people to raise new questions.It can meet the requirements of auto-answering in some certain fields and also takes extensibility and maintainability into account.However,the system isn’t intelligent enough since only keyword splitting is employed without any semantic parsing and self-learning is not available yet.

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更新日期/Last Update: 2014-03-23