Publications
2017
1.
Mazo, Claudia; Salazar, Liliana; Corcho, Oscar; Trujillo, Maria; Alegre, Enrique
A histological ontology of the human cardiovascular system Artículo de revista
En: Journal of biomedical semantics, vol. 8, pp. 1–15, 2017, (Publisher: BioMed Central).
Resumen | Enlaces | BibTeX | Etiquetas: bioinformatics, cardiovascular system, histological ontology, medical teaching and research
@article{mazo_histological_2017,
title = {A histological ontology of the human cardiovascular system},
author = {Claudia Mazo and Liliana Salazar and Oscar Corcho and Maria Trujillo and Enrique Alegre},
url = {https://link.springer.com/article/10.1186/s13326-017-0158-5},
year = {2017},
date = {2017-01-01},
journal = {Journal of biomedical semantics},
volume = {8},
pages = {1–15},
abstract = {introduces a histological ontology of the human cardiovascular system, developed collaboratively by histology experts and computer scientists. The ontology follows a methodology based on Conceptual Models (CMs) and is validated using tools like OOPS!, expert evaluations, and its ability to answer Competency Questions (CQs). The ontology is publicly accessible at BioPortal and W3ID.
The ontology is designed to support complex applications, including teaching, medical practices, bio-medical research, and natural language interactions.},
note = {Publisher: BioMed Central},
keywords = {bioinformatics, cardiovascular system, histological ontology, medical teaching and research},
pubstate = {published},
tppubtype = {article}
}
introduces a histological ontology of the human cardiovascular system, developed collaboratively by histology experts and computer scientists. The ontology follows a methodology based on Conceptual Models (CMs) and is validated using tools like OOPS!, expert evaluations, and its ability to answer Competency Questions (CQs). The ontology is publicly accessible at BioPortal and W3ID.
The ontology is designed to support complex applications, including teaching, medical practices, bio-medical research, and natural language interactions.
The ontology is designed to support complex applications, including teaching, medical practices, bio-medical research, and natural language interactions.