A semantic approach for fine-grain access control of e-health documents

Logic Journal of the IGPL

Volumn 21, Issue 4, 2013, Pages 692-701

  Amato, Flora ^a   Casola, Valentina ^a   Mazzocca, Nicola ^a   Romano, Sara ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Document transformation; Fine grain document protection; Knowledge extraction

Indexed keywords

ACCESS CONTROL MODELS; EHEALTH; GOVERNMENT DATA PROCESSING; INFORMATION MANAGEMENT; METADATA; SEMANTICS;

ACCESS CONTROL MECHANISM; ACCESS CONTROL MODELS; DOCUMENT PROTECTION; DOCUMENT TRANSFORMATION; E HEALTH; EHEALTH; FINE-GRAIN DOCUMENT PROTECTION; FINER GRAINS; KNOWLEDGE EXTRACTION; SEMANTIC APPROACH;

DIGITAL STORAGE;

EID: 84880726384     PISSN: 13670751     EISSN: 13689894     Source Type: Journal    
DOI: 10.1093/jigpal/jzs027     Document Type: Article

References (20)

1. K. Aas, and L. Eikvil. Text Categorisation: A Survey. Norwegian Computing Center (Hrsg.). Oslo, Norway, 1999.
2. F. Amato, V. Casola, A. Mazzeo, and S. Romano. A semantic based methodology to classify and protect sensitive data in medical records. In Information Assurance and Security (IAS), 2010 Sixth International Conference, pp. 240-246, 2010.
3. F. Amato, V. Casola, N. Mazzocca, and S. Romano. A semantic-based document processing framework: a security perspective. In Proceedings of the 5th International Conference on Complex, Intelligent, and Software Intensive Systems, Seoul, Korea, 2011.
4. F. Amato, A. Mazzeo, A. Penta, and A. Picariello. Using nlp and ontologies for notary document management systems. In Proceedings of the 2008 19th International Conference on Database and Expert Systems Application, pp. 67-71, Washington, DC, USA. IEEE Computer Society, 2008.
5. C. Basile, A. Lioy, M. Vallini, and S. Scozzi. Ontology-based security policy translation. Journal of Information Assurance and Security, 5, 437-445, 2010.
6. D. Biber, R. Reppen, and S. Conrad. Corpus Linguistics: Investigating Language Structure and Use. Cambridge University Press, 1998.
7. C. S. Butler. Statistics in linguistics Blackwell, Oxford, 1985.
8. I. Dagan and K. Church. Termight: identifying and translating technical terminology. In Proceedings of the Fourth Conference on Applied Natural Language Processing, ANLC '94, pp. 34-40, Stroudsburg, PA, USA, 1994. Association for Computational Linguistics.
9. R. H. Dolin, L. Alschuler, S. Boyer, C. Beebe, F. M. Behlen, P. V. Biron, and A. S. Shvo. HL7 Clinical Document Architecture, Release 2, 2005.
10. D. M. Eyers, J. Bacon, and K. Moody. Oasis role-based access control for electronic health records. IEE Proceedings - Software, 153, 16-23, 2006.
11. F. Tamburini. Annotazione grammaticale e lemmatizzazione di corpora in italiano, Linguistica e informatica: multimedialita', corpora e percorsi di apprendimento, Bulzoni, Roma, 57-73, 2000.
12. L. Fan, W. J. Buchanan, C. Thuemmler, O. Lo, A. S. Khedim, O. Uthmani, A. Lawson, and D. Bell. Dacar platform for ehealth services cloud. In Proceedings of the 4th International Conference on Cloud Computing, Washington, DC, USA, 2011.
13. A. Flora. Methodologies and techniques for semantic management of documents in dematerialization processes. In Ph. D. Thesis in Computer and Control Engineering. University of Naples Federcico II, 2009.
14. Health informatics - electronic health record communication - part 1: Reference model, ISO 13606-1, 2008 standard.
15. J. Jin, G.-J. Ahn, H. Hu, M. J. Covington, and X. Zhang. Patient-centric authorization framework for electronic healthcare services. Computers and Security, 30, 116-127, 2011. Special Issue on Access Control Methods and Technologies.
16. G. D. Kennedy. An Introduction to Corpus Linguistics. Longman, 1998.
17. C. D. Manning and H. Schuetze. Foundations of Statistical Natural Language Processing, 1st edn., The MIT Press, 1999.
18. G. Ridgeway, D. Madigan, and T. Richardson. Interpretable boosted naya bayes classification. In 4th Int Conf on Knowledge Discovery and Data Mining - KDD98, pp. 101-104, 1998.
19. B. Sergio. Statistica testuale e text mining: alcuni paradigmi applicativi. Quaderni di Statistica, 2005.
20. P. Yuan, Y. Chen, H. Jin, and L. Huang. Msvm-knn: combining svm and k-nn for multi-class text classification. Semantic Computing and Systems, IEEE International Workshop, 133-140, 2008.