图书情报工作

图书情报工作 >

2020 , Vol. 64 >Issue 12: 95 - 105

DOI: https://doi.org/10.13266/j.issn.0252-3116.2020.12.011

知识组织

基于知识图谱的“一带一路”投资问答系统构建

  • 陈璟浩 ,
  • 曾桢 ,
  • 李纲
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  • 1. 广西大学公共管理学院 南宁 530004;
    2. 贵州财经大学信息学院 贵阳 550025;
    3. 武汉大学信息资源中心 武汉 430072
陈璟浩(ORCID:0000-0001-8768-8562),讲师,博士;曾桢(ORCID:0000-0001-8481-3567),副教授,博士。

收稿日期: 2020-01-04

  修回日期: 2020-04-12

  网络出版日期: 2020-06-20

基金资助

本文系国家自然科学基金重大项目"国家安全大数据综合信息集成与分析方法"（项目编号：71790612）和国家自然科学基金项目"基于数据挖掘的跨区域网络情报智能分析研究——以东盟十国为例"（项目编号：71663005）研究成果之一。

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A Question Answering System for “the Belt and Road” Investment Based on Knowledge Graph

  • Chen Jinghao ,
  • Zeng Zhen ,
  • Li Gang
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  • 1. School of Public Policy and Management, Guangxi University, Nanning 530004;
    2. School of Information, Guizhou University of Finance and Economics, Guiyang 550025;
    3. Center for the Studies of Information Resources of Wuhan University, Wuhan 430072

Received date: 2020-01-04

  Revised date: 2020-04-12

  Online published: 2020-06-20

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摘要

[目的/意义] 基于知识图谱的"一带一路"投资问答系统有效整合多种来源的信息资源，能为用户提供快捷、准确、高质的"一带一路"投资信息，具有重要的研究和应用意义。[方法/过程] 对"一带一路"投资相关的信息进行采集、处理与整合，在专家指导下构建"一带一路"投资知识图谱。在此基础上，问答系统的各部分功能得以实现，包括：用户问题预处理、问题分类、问题模板匹配及答案查询。[结果/结论] 实验结果表明，该系统能有效回答"一带一路"投资相关问题。

关键词： 问答系统; 知识图谱; 一带一路; 系统构建

本文引用格式

陈璟浩 , 曾桢 , 李纲 . 基于知识图谱的“一带一路”投资问答系统构建[J]. 图书情报工作, 2020 , 64(12) : 95 -105 . DOI: 10.13266/j.issn.0252-3116.2020.12.011

Abstract

[Purpose/significance] The question answering system for "the Belt and Road" investment has important research and application significance. It can effectively integrate information from multiple sources and provide user with fast, accurate and high-quality "the Belt and Road" investment information.[Method/process] Firstly, the information which related to the "the Belt and Road" investment was collected, processed and integrated. and then, under the guidance of experts, the "the Belt and Road" investment knowledge graph was constructed. On this basis, the functions of each part of question answering system were realized, including:question preprocessing, question classification, question template matching and answer query.[Result/conclusion] The result shows that, this system can effectively answer questions about "the Belt and Road" investment.

Key words： question answering system; knowledge graph; the Belt and Road; system construction

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