Ontology elements identified in different nursing classification systems
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.19/4831 |
Resumo: | Introduction: The International Classification for Nursing Practice (ICNP®) includes an ontology to represent the terms contained within it. In Brazil, in order to contribute to the development of this classification, an ontology was elaborated, comprising the representation of concepts and terms from the International Classification of Public Health Nursing Practice (Classificação Internacional para as Práticas de Enfermagem em Saúde Coletiva – CIPESC®). The identification of ontology elements in the aforementioned classification systems helps to understand how they might be used to represent the elements of nursing practice in an automated manner. Objectives: To identify ontology elements in the ICNP® and CIPESC®. Methods: Documentary, exploratory, and descriptive study. Data collection was based on the capture of structural characteristics of the various versions of the ICNP® and of the CIPESC®, including axis structure and term hierarchy structure. Data analysis was performed by comparing the elements of the captured characteristics with the following ontology elements: concepts, instances, properties, relationships, constrains and axioms. Results: The structural characteristics of ICNP® and CIPESC® are presented. Concepts, properties, relationships, constrains, and axioms were identified in both classifications. Conclusions: An ontology ensures consistency to nursing terminologies, providing evidence for practice and contributing to the unification of the nursing language. This research facilitates the development of ontologies for nursing practice based on nursing terminologies, contributing to the development of health policies by using ontologies in information systems. |
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Ontology elements identified in different nursing classification systemsNursing InformaticsTerminology as TopicKnowledge RepresentationIntroduction: The International Classification for Nursing Practice (ICNP®) includes an ontology to represent the terms contained within it. In Brazil, in order to contribute to the development of this classification, an ontology was elaborated, comprising the representation of concepts and terms from the International Classification of Public Health Nursing Practice (Classificação Internacional para as Práticas de Enfermagem em Saúde Coletiva – CIPESC®). The identification of ontology elements in the aforementioned classification systems helps to understand how they might be used to represent the elements of nursing practice in an automated manner. Objectives: To identify ontology elements in the ICNP® and CIPESC®. Methods: Documentary, exploratory, and descriptive study. Data collection was based on the capture of structural characteristics of the various versions of the ICNP® and of the CIPESC®, including axis structure and term hierarchy structure. Data analysis was performed by comparing the elements of the captured characteristics with the following ontology elements: concepts, instances, properties, relationships, constrains and axioms. Results: The structural characteristics of ICNP® and CIPESC® are presented. Concepts, properties, relationships, constrains, and axioms were identified in both classifications. Conclusions: An ontology ensures consistency to nursing terminologies, providing evidence for practice and contributing to the unification of the nursing language. This research facilitates the development of ontologies for nursing practice based on nursing terminologies, contributing to the development of health policies by using ontologies in information systems.Repositório Científico do Instituto Politécnico de ViseuCarvalho, CarinaBiancato, CláudiaCarvalho, DeborahMalucelli, AndreiaCubas, MarciaNóbrega, Maria2018-02-16T15:14:23Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.19/4831eng10.29352/mill0204.05.00151info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-16T15:27:39Zoai:repositorio.ipv.pt:10400.19/4831Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:43:21.474305Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Ontology elements identified in different nursing classification systems |
title |
Ontology elements identified in different nursing classification systems |
spellingShingle |
Ontology elements identified in different nursing classification systems Carvalho, Carina Nursing Informatics Terminology as Topic Knowledge Representation |
title_short |
Ontology elements identified in different nursing classification systems |
title_full |
Ontology elements identified in different nursing classification systems |
title_fullStr |
Ontology elements identified in different nursing classification systems |
title_full_unstemmed |
Ontology elements identified in different nursing classification systems |
title_sort |
Ontology elements identified in different nursing classification systems |
author |
Carvalho, Carina |
author_facet |
Carvalho, Carina Biancato, Cláudia Carvalho, Deborah Malucelli, Andreia Cubas, Marcia Nóbrega, Maria |
author_role |
author |
author2 |
Biancato, Cláudia Carvalho, Deborah Malucelli, Andreia Cubas, Marcia Nóbrega, Maria |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Viseu |
dc.contributor.author.fl_str_mv |
Carvalho, Carina Biancato, Cláudia Carvalho, Deborah Malucelli, Andreia Cubas, Marcia Nóbrega, Maria |
dc.subject.por.fl_str_mv |
Nursing Informatics Terminology as Topic Knowledge Representation |
topic |
Nursing Informatics Terminology as Topic Knowledge Representation |
description |
Introduction: The International Classification for Nursing Practice (ICNP®) includes an ontology to represent the terms contained within it. In Brazil, in order to contribute to the development of this classification, an ontology was elaborated, comprising the representation of concepts and terms from the International Classification of Public Health Nursing Practice (Classificação Internacional para as Práticas de Enfermagem em Saúde Coletiva – CIPESC®). The identification of ontology elements in the aforementioned classification systems helps to understand how they might be used to represent the elements of nursing practice in an automated manner. Objectives: To identify ontology elements in the ICNP® and CIPESC®. Methods: Documentary, exploratory, and descriptive study. Data collection was based on the capture of structural characteristics of the various versions of the ICNP® and of the CIPESC®, including axis structure and term hierarchy structure. Data analysis was performed by comparing the elements of the captured characteristics with the following ontology elements: concepts, instances, properties, relationships, constrains and axioms. Results: The structural characteristics of ICNP® and CIPESC® are presented. Concepts, properties, relationships, constrains, and axioms were identified in both classifications. Conclusions: An ontology ensures consistency to nursing terminologies, providing evidence for practice and contributing to the unification of the nursing language. This research facilitates the development of ontologies for nursing practice based on nursing terminologies, contributing to the development of health policies by using ontologies in information systems. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z 2018-02-16T15:14:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.19/4831 |
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http://hdl.handle.net/10400.19/4831 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.29352/mill0204.05.00151 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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