Ontology
(
)
DESCRIPTION: An Ontology is a formal description of knowledge as a set of concepts within a domain and the axioms connecting concepts and allowing for logic inferences. When speaking about an ontology, we do not refer only to the terminology (or T-Box) but also to all the “assertions” about the concepts and roles (the A-Box), i.e. all the individuals or instances of concepts and roles of the terminology and as important, the rules for logic inference: the semantics “part”. INTEROPERABILITY SALIENCY: IoP Dimension: Governance IoP The Ontologies ABB is salient for semantic interoperability because it defined as a simplified, reusable and extensible data model that capture the fundamental characteristics of a data entity in a context-neutral and syntax-neutral fashion. EXAMPLE: The following implementation is an example on how this specific Architecture Building Block (ABB) can be instantiated as a Solution Building Block (SBB): Medical Dictionary for Regulatory Activities Terminology (MedDRA) The university ontology includes classes, e.g., :Staff, :Students, :Department or :Course. These classes denote natural concepts that are shared or at least understood by users familiar with universities all over the world. Universities ontologies can be view in university portals. http://bioportal.bioontology.org/ontologies/MEDDRA
ID
ABB364
dct:type
eira:Ontology
dct:publisher
dct:modified
eira:reusability
[ Excellent (90-100%) | Very good (70-89,9%) | Fair (50-74,9%) | Poor (0-49,9%) ]
eira:actual_use
[ Currently used | Use planned | No ]
eira:view
Semantic view