Update ontoneo.md

Author: FernandaFarinelli

ontology/ontoneo.md

@@ -31,19 +31,20 @@ browsers:
     title: OntoBee Browser
     url: https://ontobee.org/ontology/ONTONEO
 publications:
-- id: https://doi.org/10.5281/zenodo.17429771
-  title: "OntONeo: The Obstetric and Neonatal Ontology"
-- id: https://doi.org/10.22477/ISKO.25.99
-  title: Formal Ontologies in Knowledge Organization within the Obstetric and Neonatal Domain
+  - id: https://doi.org/10.5281/zenodo.17429771
+    title: "OntONeo: The Obstetric and Neonatal Ontology"
+  - id: https://doi.org/10.22477/ISKO.25.99
+    title: Formal Ontologies in Knowledge Organization within the Obstetric and Neonatal Domain
 usages:
-- user: http://recol.eci.ufmg.br/ (Link to group)
-  description: The ReCOL research group uses OntONeo to model and structure biomedical information, particularly in obstetrics and neonatology.
-  examples:
-    - url: https://mba.eci.ufmg.br/wp-content/uploads/Anais_CBIS_2018_FarinelliAlmeidaLouize.pdf
-      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.
-- user: Health Information Systems and Clinical Decision Support
-  examples:
-    - url: https://doi.org/10.56238/devopinterscie-267
-      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.
+  - user: http://recol.eci.ufmg.br/ (Link to group)
+    description: The ReCOL research group uses OntONeo to model and structure biomedical information, particularly in obstetrics and neonatology.
+    examples:
+      - url: https://mba.eci.ufmg.br/wp-content/uploads/Anais_CBIS_2018_FarinelliAlmeidaLouize.pdf
+        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.
+  - user: Health Information Systems and Clinical Decision Support
+    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.
+    examples:
+      - url: https://doi.org/10.56238/devopinterscie-267
+        description: Demonstrates OntONeo’s application for enabling structured data access and semantic reasoning in clinical contexts.
 activity_status: active
 ---