Chapter 10 Introduction to Chinese Knowledge Graphs and their Applications

Tianxing Wu, G. Qi, Cheng Li
{"title":"Chapter 10 Introduction to Chinese Knowledge Graphs and their Applications","authors":"Tianxing Wu, G. Qi, Cheng Li","doi":"10.1108/978-1-78756-679-820191010","DOIUrl":null,"url":null,"abstract":"Abstract \nWith the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability of knowledge representation and reasoning. Besides, knowledge graph has been widely applied in different kinds of applications, such as semantic search, question answering, knowledge management, and so on. In recent years, knowledge graph techniques in China are also developing rapidly and different Chinese knowledge graphs have been built to support various applications. Under the background of “One Belt One Road (OBOR)” initiative, cooperating with the countries along OBOR on studying knowledge graph techniques and applications will greatly promote the development of artificial intelligence. At the same time, the accumulated experience of China on developing knowledge graph is also a good reference. Thus, in this chapter, the authors mainly introduce the development of Chinese knowledge graphs and their applications. The authors first describe the background of OBOR, and then introduce the concept of knowledge graph and three typical Chinese knowledge graphs, including Zhishi.me, CN-DBpedia, and XLORE. Finally, the authors demonstrate several applications of Chinese knowledge graphs.","PeriodicalId":405711,"journal":{"name":"The New Silk Road Leads through the Arab Peninsula: Mast ering Global Business and Inovation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The New Silk Road Leads through the Arab Peninsula: Mast ering Global Business and Inovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/978-1-78756-679-820191010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability of knowledge representation and reasoning. Besides, knowledge graph has been widely applied in different kinds of applications, such as semantic search, question answering, knowledge management, and so on. In recent years, knowledge graph techniques in China are also developing rapidly and different Chinese knowledge graphs have been built to support various applications. Under the background of “One Belt One Road (OBOR)” initiative, cooperating with the countries along OBOR on studying knowledge graph techniques and applications will greatly promote the development of artificial intelligence. At the same time, the accumulated experience of China on developing knowledge graph is also a good reference. Thus, in this chapter, the authors mainly introduce the development of Chinese knowledge graphs and their applications. The authors first describe the background of OBOR, and then introduce the concept of knowledge graph and three typical Chinese knowledge graphs, including Zhishi.me, CN-DBpedia, and XLORE. Finally, the authors demonstrate several applications of Chinese knowledge graphs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
第十章中文知识图谱的介绍及其应用
随着智能技术的不断发展,作为人工智能主干的知识图以其强大的知识表示和推理能力受到了学术界和工业界的广泛关注。此外,知识图谱在语义搜索、问答、知识管理等领域也得到了广泛的应用。近年来,知识图谱技术在中国也得到了迅速的发展,不同的中文知识图谱已被构建以支持不同的应用。在“一带一路”倡议的背景下,与沿线国家合作研究知识图谱技术和应用将极大地促进人工智能的发展。同时,中国在发展知识图谱方面积累的经验也有很好的借鉴意义。因此,在本章中,作者主要介绍了中文知识图谱的发展及其应用。首先介绍了“一带一路”的背景,然后介绍了知识图谱的概念和知时等三个典型的中国知识图谱。我,cnn - pedia和XLORE。最后,介绍了中文知识图谱的几种应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Chapter 11 Pakistan’s Role in the New Silk Route: Belt and Road Initiative Chapter 3 The Past, the Present, and the Future of the New Silk Road: China as a Leader or a Free-Rider in International Relations Chapter 2 The Spirit of Silk Road: The Impact of Medieval Chinese–Arab Relations on the Contemporary Bilateral Sino–Arab Relations Chapter 8 A Framework for the Competitive Intelligence Service System for Strategic Emerging Industries in China Chapter 1 The Belt and Road Initiative: Strategy, Collaboration, Innovation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1