网络空间衍生数据服务

Shi-Cho Cha, Yuh-Jzer Joung
{"title":"网络空间衍生数据服务","authors":"Shi-Cho Cha, Yuh-Jzer Joung","doi":"10.1109/SAINT.2005.45","DOIUrl":null,"url":null,"abstract":"We propose a framework, called derived data services (DDS), to ease the tension between (a) the need to mine individual's Web usage logs across multiple sites for aiding in personalization, and (b) the inherent privacy risks in it. In DDS, a standardized, hierarchical, format can be developed, whereby some higher level abstractions from a usage log can be captured, and potentially used across multiple applications. The hierarchical data structure also allows derived data to be processed incrementally based on the level of information needed, and on the level of privacy an individual wishes to have. The derived data summarizes an individual's profile in cyberspace, and should be the legal property of the individual so that access to the profile must be legally authorized by the person.","PeriodicalId":169669,"journal":{"name":"The 2005 Symposium on Applications and the Internet","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On derived data services in cyberspace\",\"authors\":\"Shi-Cho Cha, Yuh-Jzer Joung\",\"doi\":\"10.1109/SAINT.2005.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a framework, called derived data services (DDS), to ease the tension between (a) the need to mine individual's Web usage logs across multiple sites for aiding in personalization, and (b) the inherent privacy risks in it. In DDS, a standardized, hierarchical, format can be developed, whereby some higher level abstractions from a usage log can be captured, and potentially used across multiple applications. The hierarchical data structure also allows derived data to be processed incrementally based on the level of information needed, and on the level of privacy an individual wishes to have. The derived data summarizes an individual's profile in cyberspace, and should be the legal property of the individual so that access to the profile must be legally authorized by the person.\",\"PeriodicalId\":169669,\"journal\":{\"name\":\"The 2005 Symposium on Applications and the Internet\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2005 Symposium on Applications and the Internet\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAINT.2005.45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2005 Symposium on Applications and the Internet","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAINT.2005.45","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

我们提出了一个称为派生数据服务(DDS)的框架,以缓解(a)跨多个站点挖掘个人Web使用日志以帮助个性化的需求,以及(b)其中固有的隐私风险之间的紧张关系。在DDS中,可以开发一种标准化的分层格式,从而可以从使用日志中捕获一些更高级别的抽象,并可能跨多个应用程序使用这些抽象。分层数据结构还允许根据所需的信息级别和个人希望拥有的隐私级别对派生数据进行增量处理。衍生数据汇总了个人在网络空间中的个人资料,应该是个人的合法财产,因此访问个人资料必须得到个人的合法授权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On derived data services in cyberspace
We propose a framework, called derived data services (DDS), to ease the tension between (a) the need to mine individual's Web usage logs across multiple sites for aiding in personalization, and (b) the inherent privacy risks in it. In DDS, a standardized, hierarchical, format can be developed, whereby some higher level abstractions from a usage log can be captured, and potentially used across multiple applications. The hierarchical data structure also allows derived data to be processed incrementally based on the level of information needed, and on the level of privacy an individual wishes to have. The derived data summarizes an individual's profile in cyberspace, and should be the legal property of the individual so that access to the profile must be legally authorized by the person.
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
×
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