English  |  正體中文  |  简体中文  |  Post-Print筆數 : 11 |  Items with full text/Total items : 88866/118573 (75%)
Visitors : 23560053      Online Users : 445
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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
    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

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML637View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback