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Difference between
version 16
and
version 2:
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| - !! Observation Ontology |
| + !! Observation Ontology |
| At line 5 added 1 line. |
| + What are the uses? |
| At line 6 added 4 lines. |
| + * Consistency checking |
| + * Data annotation |
| + * Data integration |
| + |
| Line 8 was replaced by lines 13-19 |
| - * __Observation__: 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. |
| + * __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__: |
| At line 9 added 4 lines. |
| + *__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. |
| + |
| At line 11 added 2 lines. |
| + ---- |
| + |
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