| dc.contributor | 資科系 | - |
| dc.creator (作者) | Hu, Yuh-Jong;Cheng, Kua Ping;Huang, Ya Ling | - |
| dc.creator (作者) | 胡毓忠;黃雅玲 | - |
| dc.date (日期) | 2013-06 | - |
| dc.date.accessioned | 26-May-2015 18:28:19 (UTC+8) | - |
| dc.date.available | 26-May-2015 18:28:19 (UTC+8) | - |
| dc.date.issued (上傳時間) | 26-May-2015 18:28:19 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75328 | - |
| dc.description.abstract (摘要) | 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. | - |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | 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 | - |
| dc.subject (關鍵詞) | Big datum; Data protection; Data utilities; Semantic data; Statistical disclosure Control; Natural language processing systems; Semantic Web; Semantics; Security of data | - |
| dc.title (題名) | Crafting a balance between big data utility and protection in the semantic data cloud | - |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1145/2479787.2479806 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1145/2479787.2479806 | - |
