基于关联数据的中国上市公司投资开放数据构建

Hongqin Li, Jun Zhai
{"title":"基于关联数据的中国上市公司投资开放数据构建","authors":"Hongqin Li, Jun Zhai","doi":"10.1145/2912160.2912206","DOIUrl":null,"url":null,"abstract":"Linked Data can provide the data according to user's demand, promote the availability of half structured and unstructured data on the network, improve the interoperability of open data. With the development of Linked Data, Linked Enterprise Data becomes a research hotspot. This article draw lessons from foreign investment Linked Data research of listed companies, selected the listed company information and XBRL reports from Shanghai stock exchange and Shenzhen stock exchange, industry information from the China securities regulatory commission and daily stock price from Flush as data source, built investment open data of Chinese listed companies based on Linked Data. This work could promote the internationalization of the Chinese data and the commercial use of open government data, lay the foundation for the global data ecological system, at the same time prepare for the challenge of Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect even the challenge of international investment.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Constructing Investment Open Data of Chinese Listed Companies Based on Linked Data\",\"authors\":\"Hongqin Li, Jun Zhai\",\"doi\":\"10.1145/2912160.2912206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linked Data can provide the data according to user's demand, promote the availability of half structured and unstructured data on the network, improve the interoperability of open data. With the development of Linked Data, Linked Enterprise Data becomes a research hotspot. This article draw lessons from foreign investment Linked Data research of listed companies, selected the listed company information and XBRL reports from Shanghai stock exchange and Shenzhen stock exchange, industry information from the China securities regulatory commission and daily stock price from Flush as data source, built investment open data of Chinese listed companies based on Linked Data. This work could promote the internationalization of the Chinese data and the commercial use of open government data, lay the foundation for the global data ecological system, at the same time prepare for the challenge of Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect even the challenge of international investment.\",\"PeriodicalId\":270321,\"journal\":{\"name\":\"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2912160.2912206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2912160.2912206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

关联数据可以根据用户需求提供数据,促进网络上半结构化和非结构化数据的可用性,提高开放数据的互操作性。随着关联数据的发展,关联企业数据成为一个研究热点。本文借鉴国外上市公司投资关联数据研究的经验,选取上海证券交易所和深圳证券交易所的上市公司信息和XBRL报告、中国证监会的行业信息和Flush的每日股价作为数据源,构建了基于关联数据的中国上市公司投资开放数据。这项工作可以促进中国数据的国际化和政府开放数据的商业化利用,为构建全球数据生态系统奠定基础,同时为沪港通、深港通乃至国际投资的挑战做好准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Constructing Investment Open Data of Chinese Listed Companies Based on Linked Data
Linked Data can provide the data according to user's demand, promote the availability of half structured and unstructured data on the network, improve the interoperability of open data. With the development of Linked Data, Linked Enterprise Data becomes a research hotspot. This article draw lessons from foreign investment Linked Data research of listed companies, selected the listed company information and XBRL reports from Shanghai stock exchange and Shenzhen stock exchange, industry information from the China securities regulatory commission and daily stock price from Flush as data source, built investment open data of Chinese listed companies based on Linked Data. This work could promote the internationalization of the Chinese data and the commercial use of open government data, lay the foundation for the global data ecological system, at the same time prepare for the challenge of Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect even the challenge of international investment.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Financial Transparency in Mexican Municipalities: An Empirical Research Emerging Scholars of E-Government in China: Four Research Studies Session details: Reflections on Digital Government Research and Practice Public Works and Infrastructure: Improvement Initiative for Federal Government in Mexico Financing digital government in municipalities: An economic perspective
×
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