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Semantic-based Privacy-preserving Record Linkage

Lu, Yang ORCID: https://orcid.org/0000-0002-0583-2688 and Sinnott, Richard (2016) Semantic-based Privacy-preserving Record Linkage. In: 4TH ANNUAL DOCTORAL COLLOQUIUM, Computing and Information Systems, University of Melbourne, Melbourne, Australia.

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Abstract

Privacy disclosure has been recognized as a big challenge to health record linkage. Techniques such as k-anonymity have been proposed to mitigate the risk however they are often challenged within distributed environments due to the semantic ambiguity and implicit knowledge of heterogeneous security policies. To tackle this, we propose an improved linkage solution by leveraging semantic web technologies where privacy leakage can be detected through semantic reasoning

Item Type: Conference or Workshop Item (Paper)
Status: Published
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > Q Science (General)
Q Science > Q Science (General) > Q325 Machine learning
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.9.H85 Human-Computer Interaction; Virtual Reality; Mixed Reality; Augmented Reality ; Extended Reality
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
School/Department: School of Science, Technology and Health
URI: http://ray.yorksj.ac.uk/id/eprint/5364

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