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title: ONTONEO
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description: The full version of ONTONEO in OWL format
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build:
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source_url: https://raw.githubusercontent.com/ontoneo-project/Ontoneo/master/ontoneo.owl
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- id: ontoneo.owl
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source_url: https://raw.githubusercontent.com/ontoneo-project/Ontoneo/master/ontoneo.owl
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tracker: https://github.com/ontoneo-project/Ontoneo/issues
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browsers:
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- label: BioPortal
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- user: http://recol.eci.ufmg.br/ (Link to group)
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description: The ReCOL research group uses OntONeo to model and structure biomedical information, particularly in obstetrics and neonatology.
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examples:
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- url: https://mba.eci.ufmg.br/wp-content/uploads/Anais_CBIS_2018_FarinelliAlmeidaLouize.pdf
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description: The ontology has been applied in studies on data interoperability and semantic integration, improving access to structured medical information and enabling knowledge sharing between systems.
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- url: https://mba.eci.ufmg.br/wp-content/uploads/Anais_CBIS_2018_FarinelliAlmeidaLouize.pdf
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description: The ontology has been applied in studies on data interoperability and semantic integration, improving access to structured medical information and enabling knowledge sharing between systems.
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- user: Health Information Systems and Clinical Decision Support
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examples:
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descripiton: OntONeo serves as a knowledge representation framework to support clinical decision-making and data interoperability in healthcare. It is used in information retrieval applications, enabling structured queries over medical databases and facilitating access to critical obstetric and neonatal health information.
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- url: https://doi.org/10.56238/devopinterscie-267
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- url: https://doi.org/10.56238/devopinterscie-267
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description: OntONeo serves as a knowledge representation framework to support clinical decision-making and data interoperability in healthcare. It is used in information retrieval applications, enabling structured queries over medical databases and facilitating access to critical obstetric and neonatal health information.
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activity_status: active
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