Ontolime: modelo de ontologia de descrição de imagens médicas
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/93656 |
Resumo: | In the health records of the patients , as well as images linked to them , are a benchmark for access to information and knowledge with emphasis on the treatment of many diseases , and also for research purposes . These records , which before were recorded in analog media ( paper) , currently already being built in electronic media or being scanned , thanks to the integration of electronic and digital technologies of information in the context of health . Another aspect to consider in this area are the images that photographing the body so perfectly making it transparent. In this new paradigm , it is considered that the treatment of these informational documents need to be innovative , and the adoption of ontologies can be a solution . It is therefore in this context that this research fits contemplating the question: what criteria should be used to build a model of the ontology of medical images ? What is the contribution of literature Area Information Science in the process of ontology construction ? The basic objective of this research is to build a model of the ontology of medical images taking into account the images ( human and other animals ) from the terminology of healthcare and information related to images taken from the teaching sites in order to access and information retrieval imagery in health , with higher added value . The research is exploratory in which we seek to deepen our knowledge relative to the understanding of the image in the field of health, informational representation , as well as on ontologies , in general , and particularly ontology pictures . The construction methodology of ONTOLIME , was based on Methontology , prepared by Professors Gomez - Perez and trough (2002 ) . The mapping of concepts has been done manually , terminologies in the area and also in the analysis of images collected on the Internet . The ONTOLIME was built in Protégé software... (Complete abstract click electronic access below) |
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Ontolime: modelo de ontologia de descrição de imagens médicasCatalogaçãoProcessamento de imagens - Tecnicas digitaisTecnologia da informaçãoImagens digitais - DescriçãoIn the health records of the patients , as well as images linked to them , are a benchmark for access to information and knowledge with emphasis on the treatment of many diseases , and also for research purposes . These records , which before were recorded in analog media ( paper) , currently already being built in electronic media or being scanned , thanks to the integration of electronic and digital technologies of information in the context of health . Another aspect to consider in this area are the images that photographing the body so perfectly making it transparent. In this new paradigm , it is considered that the treatment of these informational documents need to be innovative , and the adoption of ontologies can be a solution . It is therefore in this context that this research fits contemplating the question: what criteria should be used to build a model of the ontology of medical images ? What is the contribution of literature Area Information Science in the process of ontology construction ? The basic objective of this research is to build a model of the ontology of medical images taking into account the images ( human and other animals ) from the terminology of healthcare and information related to images taken from the teaching sites in order to access and information retrieval imagery in health , with higher added value . The research is exploratory in which we seek to deepen our knowledge relative to the understanding of the image in the field of health, informational representation , as well as on ontologies , in general , and particularly ontology pictures . The construction methodology of ONTOLIME , was based on Methontology , prepared by Professors Gomez - Perez and trough (2002 ) . The mapping of concepts has been done manually , terminologies in the area and also in the analysis of images collected on the Internet . The ONTOLIME was built in Protégé software... (Complete abstract click electronic access below)No campo da saúde os prontuários de pacientes, bem como as imagens a eles atreladas, são base de referência para o acesso à informação e ao conhecimento com ênfase no tratamento de inúmeras patologias, e igualmente para fins de pesquisa. Esses prontuários, que antes se encontravam registrados em suportes analógicos (papel), atualmente, já estão sendo construídos em suportes eletrônicos ou sendo digitalizados, graças à inserção das tecnologias eletrônicas e digitais de informação no contexto da saúde. Outro aspecto a considerar nesta área são as imagens que fotografam o corpo com tanta perfeição tornando-o transparente. Diante desse novo paradigma, considera-se que o tratamento informacional desses documentos precisa ser inovado e, a adoção de ontologias pode ser uma solução. É, pois, nesse contexto que essa pesquisa se insere contemplando o seguinte questionamento: que critérios deverão ser utilizados para a construção de um modelo de ontologia de imagens médicas? Qual é contribuição da literatura da Área de Ciência da Informação no processo de construção de ontologias? O objetivo básico desta pesquisa consiste em construir um modelo de ontologia de imagens médicas levando em consideração as imagens (humanas e de outros animais) a partir da terminologia da área da saúde e das informações referentes às imagens colhidas nos sites didáticos, visando o acesso e a recuperação da informação imagética na área da saúde, com maior valor agregado. A pesquisa é de cunho exploratório na qual buscamos aprofundar nossos conhecimentos, relativos ao entendimento da imagem no campo da saúde, à representação informacional, assim como sobre ontologias, de modo geral, e particularmente ontologia de imagens. A metodologia de construção da ONTOLIME , baseou-se na Methontology, elaborada pelos Professores Gómez-Perez e Cocho (2002)...Universidade Estadual Paulista (Unesp)Pinto, Virgínia Bentes [UNESP]Ferneda, Edberto [UNESP]Universidade Estadual Paulista (Unesp)Santos Neto, Martins Fideles dos [UNESP]2014-06-11T19:26:44Z2014-06-11T19:26:44Z2013-10-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis2017 f. : il.application/pdfSANTOS NETO, Martins Fideles dos. Ontolime: modelo de ontologia de descrição de imagens médicas. 2013. 2017 f. Dissertação (mestrado) - Universidade Estadual Paulista, Faculdade de Filosofia e Ciências de Marília, 2013.http://hdl.handle.net/11449/93656000732117santosneto_mf_me_mar.pdf33004110043P485965682286768200000-0002-8808-1217Alephreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporinfo:eu-repo/semantics/openAccess2023-12-20T06:19:44Zoai:repositorio.unesp.br:11449/93656Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-20T06:19:44Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Ontolime: modelo de ontologia de descrição de imagens médicas |
title |
Ontolime: modelo de ontologia de descrição de imagens médicas |
spellingShingle |
Ontolime: modelo de ontologia de descrição de imagens médicas Santos Neto, Martins Fideles dos [UNESP] Catalogação Processamento de imagens - Tecnicas digitais Tecnologia da informação Imagens digitais - Descrição |
title_short |
Ontolime: modelo de ontologia de descrição de imagens médicas |
title_full |
Ontolime: modelo de ontologia de descrição de imagens médicas |
title_fullStr |
Ontolime: modelo de ontologia de descrição de imagens médicas |
title_full_unstemmed |
Ontolime: modelo de ontologia de descrição de imagens médicas |
title_sort |
Ontolime: modelo de ontologia de descrição de imagens médicas |
author |
Santos Neto, Martins Fideles dos [UNESP] |
author_facet |
Santos Neto, Martins Fideles dos [UNESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Pinto, Virgínia Bentes [UNESP] Ferneda, Edberto [UNESP] Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Santos Neto, Martins Fideles dos [UNESP] |
dc.subject.por.fl_str_mv |
Catalogação Processamento de imagens - Tecnicas digitais Tecnologia da informação Imagens digitais - Descrição |
topic |
Catalogação Processamento de imagens - Tecnicas digitais Tecnologia da informação Imagens digitais - Descrição |
description |
In the health records of the patients , as well as images linked to them , are a benchmark for access to information and knowledge with emphasis on the treatment of many diseases , and also for research purposes . These records , which before were recorded in analog media ( paper) , currently already being built in electronic media or being scanned , thanks to the integration of electronic and digital technologies of information in the context of health . Another aspect to consider in this area are the images that photographing the body so perfectly making it transparent. In this new paradigm , it is considered that the treatment of these informational documents need to be innovative , and the adoption of ontologies can be a solution . It is therefore in this context that this research fits contemplating the question: what criteria should be used to build a model of the ontology of medical images ? What is the contribution of literature Area Information Science in the process of ontology construction ? The basic objective of this research is to build a model of the ontology of medical images taking into account the images ( human and other animals ) from the terminology of healthcare and information related to images taken from the teaching sites in order to access and information retrieval imagery in health , with higher added value . The research is exploratory in which we seek to deepen our knowledge relative to the understanding of the image in the field of health, informational representation , as well as on ontologies , in general , and particularly ontology pictures . The construction methodology of ONTOLIME , was based on Methontology , prepared by Professors Gomez - Perez and trough (2002 ) . The mapping of concepts has been done manually , terminologies in the area and also in the analysis of images collected on the Internet . The ONTOLIME was built in Protégé software... (Complete abstract click electronic access below) |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-10-11 2014-06-11T19:26:44Z 2014-06-11T19:26:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SANTOS NETO, Martins Fideles dos. Ontolime: modelo de ontologia de descrição de imagens médicas. 2013. 2017 f. Dissertação (mestrado) - Universidade Estadual Paulista, Faculdade de Filosofia e Ciências de Marília, 2013. http://hdl.handle.net/11449/93656 000732117 santosneto_mf_me_mar.pdf 33004110043P4 8596568228676820 0000-0002-8808-1217 |
identifier_str_mv |
SANTOS NETO, Martins Fideles dos. Ontolime: modelo de ontologia de descrição de imagens médicas. 2013. 2017 f. Dissertação (mestrado) - Universidade Estadual Paulista, Faculdade de Filosofia e Ciências de Marília, 2013. 000732117 santosneto_mf_me_mar.pdf 33004110043P4 8596568228676820 0000-0002-8808-1217 |
url |
http://hdl.handle.net/11449/93656 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
2017 f. : il. application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
publisher.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
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Aleph reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
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Universidade Estadual Paulista (UNESP) |
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UNESP |
institution |
UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1803650035468992512 |