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    题名: Privacy-Preserving WebID Analytics on the Decentralized Policy-Aware Social Web
    作者: Hu, Yuh-Jong
    胡毓忠
    贡献者: 資科系
    关键词: Decentralized Social Web, privacy-aware Social Web, Personally Identifiable Information (PII), WebID, semanticsenabled policy, big data analytics, Statistical Disclosure Control (SDC)
    日期: 2014-08
    上传时间: 2016-04-11 16:03:49 (UTC+8)
    摘要: We address the research challenges of privacypreserving WebID analytics on the decentralized Social Web. We first argue why we should use open and decentralized control but not closed and centralized control of personal data management. Then, we present a policy-aware architecture, where a data owner hand-picks a trusted data controller to mask his/her personally identifiable information (PII) and other sensitive social relationships of the WebID so only anonymous RDF(S) linked datasets are available for analytics. Moreover, we advocate using a R and Hadoop integration paradigm, called RHadoop, for effective hybrid WebID analytics of large-scale social network linked datasets. Finally, we propose various types of semanticsenabled policies to call for the RHadoop hybrid WebID analytics and further balance data utility and protection on the privacyaware Social Web.
    關聯: Special sessions on Big Data Analytics, 2014 IEEE Web Intelligence Conference, 11-14 August, 2014, Warsaw, Poland
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1109/WI-IAT.2014.140
    DOI: 10.1109/WI-IAT.2014.140
    显示于类别:[資訊科學系] 會議論文

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