Raising Awareness of Data Sharing Consent Through Knowledge Graph Visualisation

Christof Bless, Lukas Dötlinger, Michael Kaltschmid, Markus Reiter, Anelia Kurteva, Antonio J. Roa-Valverde, A. Fensel
{"title":"Raising Awareness of Data Sharing Consent Through Knowledge Graph Visualisation","authors":"Christof Bless, Lukas Dötlinger, Michael Kaltschmid, Markus Reiter, Anelia Kurteva, Antonio J. Roa-Valverde, A. Fensel","doi":"10.3233/ssw210034","DOIUrl":null,"url":null,"abstract":"Knowledge graphs facilitate systematic large-scale data analysis by providing both human and machine-readable structures, which can be shared across different domains and platforms. Nowadays, knowledge graphs can be used to standardise the collection and sharing of user information in many different sectors such as transport, insurance, smart cities and internet of things. Regulations such as the GDPR make sure that users are not taken advantage of when they share data. From a legal standpoint it is necessary to have the user’s consent to collect information. This consent is only valid if the user is aware about the information collected at all times. To increase this awareness, we present a knowledge graph visualisation approach, which informs users about the activities linked to their data sharing agreements, especially after they have already given their consent. To visualise the graph, we introduce a user-centred application which showcases sensor data collection and distribution to different data processors. Finally, we present the results of a user study conducted to find out whether this visualisation leads to more legal awareness and trust. We show that with our visualisation tool data sharing consent rates increase from 48% to 81.5%.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Semantic Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/ssw210034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Knowledge graphs facilitate systematic large-scale data analysis by providing both human and machine-readable structures, which can be shared across different domains and platforms. Nowadays, knowledge graphs can be used to standardise the collection and sharing of user information in many different sectors such as transport, insurance, smart cities and internet of things. Regulations such as the GDPR make sure that users are not taken advantage of when they share data. From a legal standpoint it is necessary to have the user’s consent to collect information. This consent is only valid if the user is aware about the information collected at all times. To increase this awareness, we present a knowledge graph visualisation approach, which informs users about the activities linked to their data sharing agreements, especially after they have already given their consent. To visualise the graph, we introduce a user-centred application which showcases sensor data collection and distribution to different data processors. Finally, we present the results of a user study conducted to find out whether this visualisation leads to more legal awareness and trust. We show that with our visualisation tool data sharing consent rates increase from 48% to 81.5%.
通过知识图谱可视化提高数据共享同意意识
知识图通过提供人类和机器可读的结构,促进了系统的大规模数据分析,这些结构可以跨不同的领域和平台共享。如今,在交通、保险、智慧城市、物联网等许多不同领域,知识图谱可以用于规范用户信息的收集和共享。GDPR等法规确保用户在共享数据时不会被利用。从法律的角度来看,收集信息必须征得用户的同意。此同意仅在用户始终了解所收集信息的情况下有效。为了提高这种意识,我们提出了一种知识图可视化方法,该方法可以告知用户与他们的数据共享协议相关的活动,特别是在他们已经同意之后。为了使图形可视化,我们介绍了一个以用户为中心的应用程序,它展示了传感器数据的收集和分布到不同的数据处理器。最后,我们提出了一项用户研究的结果,以了解这种可视化是否会带来更多的法律意识和信任。我们显示,通过我们的可视化工具,数据共享同意率从48%增加到81.5%。
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:604180095
Book学术官方微信