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政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/75328

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75328

Title:	Crafting a balance between big data utility and protection in the semantic data cloud
Authors:	Hu, Yuh-Jong;Cheng, Kua Ping;Huang, Ya Ling 胡毓忠;黃雅玲
Contributors:	資科系
Keywords:	Big datum;Data protection;Data utilities;Semantic data;Statistical disclosure Control;Natural language processing systems;Semantic Web;Semantics;Security of data
Date:	2013-06
Issue Date:	2015-05-26 18:28:19 (UTC+8)
Abstract:	Structured big data of Personal Identifiable Information (PII) are acquired from everywhere and stored as microdata in a statistical database. Given a statistical disclosure control method, big data analysis and protection are enacted for outsourcing data sources. We exibly glean the data utility to achieve effective data-driven decision-making. However, we still comply with the privacy protection principles while applying data analysis. In this paper, we propose three types of semantics-enabled policies for controlling access, handling data, and releasing data to craft a balance between data utility and protection. Structured big data are tagged with semantic metadata to enable semantics-enabled policy`s direct processing and interpretation. Finally, we demonstrate how to craft a balance between data utility and protection with these types of semantics-enabled policies, combined with various statistical disclosure control methods. Copyright © 2013 ACM.
Relation:	ACM International Conference Proceeding Series, 2013, 論文編號 18, 3rd International Conference on Web Intelligence, Mining and Semantics, WIMS 2013; Madrid; Spain; 12 June 2013 到 14 June 2013; 代碼 97461
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1145/2479787.2479806
DOI:	10.1145/2479787.2479806
Appears in Collections:	[資訊科學系] 會議論文

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