Biomedical computation has used ontologies as a foundation for building knowledge-based systems and technologies for SemanticWeb applications. However, so far they had not been utilized in andrology related domains. This paper presents a preliminary effort to provide a comprehensive ontology for classifying and managing spermatozoa samples and their phenotypic traits, in order to analyze and diagnose them. Our study is centered around the development of a Computer Asisted Sperm Analysis (CASA) system.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)