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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/75328
    Please use this identifier to cite or link to this item: http://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
    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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