15 | | * Introduction: Building ontology (no individuals). Emphasis on complexity. |
16 | | * Reference data -- the RDL as a taxonomy |
17 | | * With IDS methods, we can consolidate traditional (e.g., tabular) data in a standard RDL-respecting format |
18 | | * We can extract subsets of a database for reasoning, using non-reasoning criteria for selection |
19 | | * We can use sophisticated reasoning on such subsets. |
| 15 | 1. Introduction: Building ontology (no individuals). Emphasis on complexity. |
| 16 | 2. Reference data -- the RDL as a taxonomy |
| 17 | 3. With IDS methods, we can consolidate traditional (e.g., tabular) data in a standard RDL-respecting format |
| 18 | 4. We can extract subsets of a database for reasoning, using non-reasoning criteria for selection |
| 19 | 5. We can use sophisticated reasoning on such subsets. |