research-article

A semantic privacy-preserving model for data sharing and integration

Authors:

Jiun-Jan YangAuthors Info & Claims

WIMS '11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics

Article No.: 9, Pages 1 - 12

https://doi.org/10.1145/1988688.1988700

Published: 25 May 2011 Publication History

Abstract

In this paper, we encompass and extend previous ontology-based data integration system. A semantic privacy-preserving model provides authorized view-based query answering over a widespread multiple servers for data sharing and integration. The combined semantics-enabled privacy protection policies are used to empower the data integration and access control services at the virtual platform (VP). The ontology mapping and merging algorithm with a local-as-view (LAV) source description that creates a global ontology schema at the VP by integrating multiple local ontology schemas for data sharing. The perfect rules integration of datalog rules enforces the data query and protection services. Semantics-enable policies are combined together at the VP, but the access control criteria specified in each server are still satisfied. Therefore the soundness and completeness of data sharing and protection criteria are ensured to support the validity of policy combination. This guarantees the trustworthiness of data sharing and protection services in multiple servers.

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Cited By

Perera CLiu CRanjan RWang LZomaya A(2016)Privacy-Knowledge Modeling for the Internet of ThingsComputer10.1109/MC.2016.36649:12(60-68)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1109/MC.2016.366
Nethravathi NRao PDesai VShenoy PVenugopal KIndiramma M(2016)SWCTE: Semantic weighted context tagging engine for privacy preserving data mining2016 International Conference on Data Science and Engineering (ICDSE)10.1109/ICDSE.2016.7823968(1-5)Online publication date: Aug-2016
https://doi.org/10.1109/ICDSE.2016.7823968
Duan LZhang YChen SZhao SWang SLiu DLiu RCheng BChen J(2016)Automated Policy Combination for Secure Data Sharing in Cross-Organizational CollaborationsIEEE Access10.1109/ACCESS.2016.25851854(3454-3468)Online publication date: 2016
https://doi.org/10.1109/ACCESS.2016.2585185
Show More Cited By

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A semantic privacy-preserving model for data sharing and integration

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cover image ACM Other conferences

WIMS '11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics

May 2011

563 pages

ISBN:9781450301480

DOI:10.1145/1988688

Program Chair:
Rajendra Akerkar
Western Norway Research Institute, Norway

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 May 2011

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National Science Council Taiwan

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WIMS '11

WIMS '11: International Conference on Web Intelligence, Mining

May 25 - 27, 2011

Sogndal, Norway

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Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

Perera CLiu CRanjan RWang LZomaya A(2016)Privacy-Knowledge Modeling for the Internet of ThingsComputer10.1109/MC.2016.36649:12(60-68)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1109/MC.2016.366
Nethravathi NRao PDesai VShenoy PVenugopal KIndiramma M(2016)SWCTE: Semantic weighted context tagging engine for privacy preserving data mining2016 International Conference on Data Science and Engineering (ICDSE)10.1109/ICDSE.2016.7823968(1-5)Online publication date: Aug-2016
https://doi.org/10.1109/ICDSE.2016.7823968
Duan LZhang YChen SZhao SWang SLiu DLiu RCheng BChen J(2016)Automated Policy Combination for Secure Data Sharing in Cross-Organizational CollaborationsIEEE Access10.1109/ACCESS.2016.25851854(3454-3468)Online publication date: 2016
https://doi.org/10.1109/ACCESS.2016.2585185
Zhao GChen KTan HWang XYou MXiao JZhang F(2015)A Multilevel Security Model for Search Engine Over Integrated DataTransactions on Computational Collective Intelligence XIX - Volume 938010.1007/978-3-662-49017-4_4(45-68)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1007/978-3-662-49017-4_4
Hu YCheng KHuang YCamacho DAkerkar RRodriguez Moreno M(2013)Crafting a balance between big data utility and protection in the semantic data cloudProceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics10.1145/2479787.2479806(1-12)Online publication date: 12-Jun-2013
https://dl.acm.org/doi/10.1145/2479787.2479806
Hu YWu WCheng DBurdescu DAkerkar RBădică C(2012)Towards law-aware semantic cloud policies with exceptions for data integration and protectionProceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics10.1145/2254129.2254162(1-12)Online publication date: 13-Jun-2012
https://dl.acm.org/doi/10.1145/2254129.2254162
Hu YWu WYang J(2011)Semantics-enabled policies for information sharing and protection in the cloudProceedings of the Third international conference on Social informatics10.5555/2050728.2050760(198-211)Online publication date: 6-Oct-2011
https://dl.acm.org/doi/10.5555/2050728.2050760

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