Link to this page
COKPME - COVID19 Ontology for analyzing the Karnataka Private Medical Establishments Data
Last uploaded:
July 9, 2021
| Acronym | COKPME |
| Visibility | Public |
| Description | The ontology will be used by analysts for finding the relative and precautionary measures that can be put in action for controlling the spread. Also, it should be able to handle the competence question like: Which properties of the patient should be considered for modeling Which properties of patient changes Which properties of patient confirm COVID positive Do the symptom of the patient change over time *** Do the treatment provided depends on the category of patient Do other comorbid conditions derive any interestingness **** Which symptom is high in a particular district? (Or) Does the geographical location influence the patient category These keep change over an iterative process of ontology development |
| Status | Production |
| Format | OWL |
| Contact | Abhilash C B, abhilashcb@iiitdwd.ac.in |
| Categories | Biomedical Resources, Health |
No views of COKPME available
| Classes | 25 |
| Individuals | 41 |
| Properties | 38 |
| Maximum depth | 3 |
| Maximum number of children | 6 |
| Average number of children | 2 |
| Classes with a single child | 4 |
| Classes with more than 25 children | 0 |
| Classes with no definition | 2 |