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Difference between
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| - * __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). |
| At line 9 added 8 lines. |
| + *__Entity__: Something that can have a characteristic. |
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| + *__Trait__: The characteristic of an entity, but not itself an entity. In the context of the observation ontology, a trait denotes the feature that is being measured or recorded. A trait is synonymous with characteristic, property, feature, etc. |
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| + 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. |
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