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題名 Privacy-Preserving WebID Analytics on the Decentralized Policy-Aware Social Web
作者 Hu, Yuh-Jong
胡毓忠
貢獻者 資科系
關鍵詞 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
上傳時間 11-Apr-2016 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
資料類型 conference
DOI http://dx.doi.org/10.1109/WI-IAT.2014.140
dc.contributor 資科系
dc.creator (作者) Hu, Yuh-Jong
dc.creator (作者) 胡毓忠zh_TW
dc.date (日期) 2014-08
dc.date.accessioned 11-Apr-2016 16:03:49 (UTC+8)-
dc.date.available 11-Apr-2016 16:03:49 (UTC+8)-
dc.date.issued (上傳時間) 11-Apr-2016 16:03:49 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/84110-
dc.description.abstract (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.
dc.format.extent 1456954 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Special sessions on Big Data Analytics, 2014 IEEE Web Intelligence Conference, 11-14 August, 2014, Warsaw, Poland
dc.subject (關鍵詞) Decentralized Social Web, privacy-aware Social Web, Personally Identifiable Information (PII), WebID, semanticsenabled policy, big data analytics, Statistical Disclosure Control (SDC)
dc.title (題名) Privacy-Preserving WebID Analytics on the Decentralized Policy-Aware Social Web
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1109/WI-IAT.2014.140
dc.doi.uri (DOI) http://dx.doi.org/10.1109/WI-IAT.2014.140