OPEN ACADEMY

M. E. Nikitin, A. A. Pliner
{"title":"OPEN ACADEMY","authors":"M. E. Nikitin, A. A. Pliner","doi":"10.22394/2500-1809-2023-8-2-189-191","DOIUrl":null,"url":null,"abstract":"The Web, in its constant process of evolution, over the years began to offer mechanisms that allowed users to better interact with published content, as well as the possibility of contributing with the publication of new data. Accompanying the growth of the Web, the amount of published data is also growing on a large scale. The current Web stands out as one of the key mechanisms used for data sharing. However, despite the ease of sharing, in general, the data are presented in a disorganized and unstructured way. In addition, most of the information can be understood only by humans, which prevents automatic processing by machines. Thus, the Semantic Web arises in order to structure and offer greater meaning to the data published on the Web. In order to guarantee a greater organization of the data, in addition to the proposed structuring, it is recommended to use the Linked Data principles to provide Interconnection between data available on the Web. In addition to this evolution of the Web, concepts such as \"Open Data\" and \"Connected Open Data\" have also emerged, where, in addition to being structured and connected, it must be ensured that data is available, with its access licenses, so that any user can Use them. In general, the publication of open data makes possible, among other benefits, the creation and the appearance of new applications of consultation and treatment of this data. Taking into","PeriodicalId":485951,"journal":{"name":"Krestʹânovedenie","volume":"267 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Krestʹânovedenie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22394/2500-1809-2023-8-2-189-191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Web, in its constant process of evolution, over the years began to offer mechanisms that allowed users to better interact with published content, as well as the possibility of contributing with the publication of new data. Accompanying the growth of the Web, the amount of published data is also growing on a large scale. The current Web stands out as one of the key mechanisms used for data sharing. However, despite the ease of sharing, in general, the data are presented in a disorganized and unstructured way. In addition, most of the information can be understood only by humans, which prevents automatic processing by machines. Thus, the Semantic Web arises in order to structure and offer greater meaning to the data published on the Web. In order to guarantee a greater organization of the data, in addition to the proposed structuring, it is recommended to use the Linked Data principles to provide Interconnection between data available on the Web. In addition to this evolution of the Web, concepts such as "Open Data" and "Connected Open Data" have also emerged, where, in addition to being structured and connected, it must be ensured that data is available, with its access licenses, so that any user can Use them. In general, the publication of open data makes possible, among other benefits, the creation and the appearance of new applications of consultation and treatment of this data. Taking into
公开学院
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信