|
Difference between
version 16
and
version 1:
| At line 0 added 1 line. |
| + !! Observation Ontology |
| Line 2 was replaced by lines 3-4 |
| - !! Observation Ontology |
| + What is the scope of the ontology? |
| + * Trying to define the information/concepts needed to combine or determine the differences/similarities between two datasets |
| Lines 4-5 were replaced by lines 6-28 |
| - * What is the scope of the ontology? |
| - ** |
| + What are the uses? |
| + |
| + * Consistency checking |
| + * Data annotation |
| + * Data integration |
| + |
| + Definitions |
| + * __Observation__: An assertion of a characteristic (trait) of some thing (entity). |
| + |
| + *__Entity__: Something that has one or more characteristics (traits). |
| + |
| + *__Trait__: The occurrence of a characteristic of an entity. In the context of the observation ontology, a trait denotes the feature that is being measured or recorded. A trait emerges as the result of a comparison with a comparable standard. is a quantifiable expression of an entity. A trait is measured by comparison with an existing standard. |
| + |
| + *__Measurement__: |
| + |
| + *__Unit__: A unit of measure is a constant quantity that serves as a standard of measurement for some dimension |
| + |
| + The observation sub-model is a taxonomy of entities (things) that can be observed (e.g., objects, spaces, times), and the specific traits of these entities that recorded (e.g., height, weight, color). In terms of data set integration, the observation sub-model tells us if we are talking about hte same (or similar enough) thing. |
| + |
| + * __ObservationAbstraction__: (Perhaps better named 'Measurement') ... |
| + |
| + ---- |
| + |
Back to KR Meeting Jan 06 Notes,
or to the Page History.
|
