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1.
Stud Health Technol Inform ; 216: 827-31, 2015.
Article in English | MEDLINE | ID: mdl-26262167

ABSTRACT

ADL is a formal language to express archetypes, independent of standards or domain. However, its specification is not precise enough in relation to the specialization and semantic of archetypes, presenting difficulties in implementation and a few available tools. Archetypes may be implemented using other languages such as XML or OWL, increasing integration with Semantic Web tools. Exchanging and transforming data can be better implemented with semantics oriented models, for example using OWL which is a language to define and instantiate Web ontologies defined by W3C. OWL permits defining significant, detailed, precise and consistent distinctions among classes, properties and relations by the user, ensuring the consistency of knowledge than using ADL techniques. This paper presents a process of an openEHR ADL archetypes representation in OWL ontologies. This process consists of ADL archetypes conversion in OWL ontologies and validation of OWL resultant ontologies using the mutation test.


Subject(s)
Biological Ontologies , Electronic Health Records/organization & administration , Natural Language Processing , Electronic Health Records/standards , Humans , Internet , Language , Semantics
2.
J. bras. telessaúde ; 2(4): 191-194, dez. 2013. ilus
Article in Portuguese | Coleciona SUS | ID: biblio-945189

ABSTRACT

O aumento da interoperabilidade entre sistemas de informação em saúde é possível utilizando o padrão de modelagem openEHR. Para verificar a corretude de arquétipos nesse padrão, este trabalho propõe-se convertê-los em ontologias OWL e realizar o teste de mutação. Assim, pretende-se revelar defeitos na modelagem do domínio antes de sua integração com outros sistemas.


Increasing interoperability among health information systems is possible using openEHR standard modeling. In this work it is proposed to convert this pattern archetypes into OWL ontologies and perform mutation testing, to verify their correctness. Thus, we intend to reveal defects in the modeling domain before its integration with other systems.


Subject(s)
Computer Systems , Delivery of Health Care/methods , Systems Integration , Electronic Health Records , Semantics
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