This can involve employing ontological methods or resources to specific domains,[1] such as management, relationships, biomedicine, information science or geography.
[2][3] Alternatively, applied ontology can aim more generally at developing improved methodologies for recording and organizing knowledge.
[4] Much[quantify] work in applied ontology is carried out within the framework of the Semantic Web.
Data can then be linked to the formal structure of these ontologies to aid dataset interoperability, along with retrieval and discovery of information.
It has found major applications in areas such as biological research,[19] artificial intelligence,[20] banking,[21] healthcare,[22] and defense.