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between the verbs used in the guidelines and the ones used in the relationship descrip-
tion, allowing an automatic mapping between concepts.
References
1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. 20th International Con-
ference Very Large Data Bases, VLDB, 1215: 487-499, 1994
2. Cunha, J.P.C., Cruz, I., Oliveira, I., Pereira, A.S., Costa, C.T., Oliveira, A.M., Pereira, A.:
The RTS project: Promoting secure and effective clinical telematic communication within the
Aveiro region. In eHealth 2006 High Level Conference . Malaga, ES, Maio 2006 . p. 1-10
3. Cunningham, H., Maynard, D., Bontcheva, K. , Tablan, V., and Ursu, C.: The GATE User
Guide. 2002 http://gate.ac.uk/.
4. Cunningham, H., Maynard, D., Bontcheva, K. , Tablan, V.: GATE: A Framework and Graph-
ical Development Environment for Robust NLP Tools and Applications. Proceedings of
the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL’02).
Philadelphia, July 2002
5. Direc
˜
ao Geral da Sa
´
ude Programa Nacional de Vacina c
˜
ao 2006, Orienta
˜
oes T
´
ecnicas No 10
2006
6. Ferreira, L., Teixeira, A., Cunha, J.P.S.: Information Extraction from Medical Reports. In 3rd
International Workshop on Natural Language Understanding and Cognitive Science (NLUCS-
2006), Paphos, Cyprus, May 2006.
7. Herman, T.D., Liu, F., Sagaram, D., Raoul, K., Fontelo, P., Kohl, K., Payne, D.: Creating a
vaccine adverse event ontology for public health. AMIA Annu Symp Proc. 2005, 978
8. Horrocks, I, Patel-Schneider, P.F., Boley, H., Tabet, S, Grosof, B., Dean, M.: SWRL: A Se-
mantic Web Rule Language - Combining OWL and RuleML. W3C Member Submission,
http://www.w3.org/Submission/SWRL/, May 2004.
9. Lassila, O., Swick, R.R.: Resource Description Framework (RDF) Model and Syntax. W3C
Working Draft, World Wide Web Consortium, 1998; http://www.w3.org/TR/WD-rdf-syntax/.
10. Liu, B., Hsu, W., Ma, Y.: Integrating Classification and Association Rule Mining. KDD-98,
1998
11. McGuinness, D. L., Harmelen, F. , eds. OWL Web Ontology Language Overview. W3C
Proposed Recommendation, December 2003, http://www.w3.org/TR/owl-features/.
12. Sager, N., Lyman, M., Bucknall, C., Nhan, L.J., Tick, L.J.: Natural language processing and
the representation of clinical data. J. Am. Med. Informatics Assoc. March, 1994, 1(2): 142-60.
13. Serban, R., Teije, A., Harmelen, F., Marcos, M., Polo-Conde, C.: Extraction and use of lin-
guistic patterns for modelling medical guidelines. Artif. Intell. Med Journal, 2007, 39:137-149
14. Schr
¨
oder, M.: Knowledge-based processing of medical language: A language engineering
approach. Proceeding of GWAI’92, Bonn, September 1992
15. Sheth, A. P., Agrawal S., Lathem J., Oldham N., Wingate H., Yadav P., Gallagher K.: Active
Semantic Electronic Medical Record. International Semantic Web Conference 2006: 913–926
16. SNOMED Clinical Terms Guide. College of American Pathologists.
17. UMLS KNOWLEDGE SOURCES. 14th Edition. National Institutes of Health Department
of Health and Human Services. U.S. National Library of Medicine.
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