- From: Bert Van Nuffelen via GitHub <sysbot+gh@w3.org>
- Date: Mon, 31 May 2021 11:54:21 +0000
- To: public-sdwig@w3.org
@dr-shorthair
>
> Your points are all valid. But I would suggest that some of this is just modeling choices. In particular, an event could legitimately be modeled in two ways:
>
> * it _is_ a (kind of) temporal-entity, or
>
> * it _is associated with_ a temporal-entity
>
>
For me the above modelings are different. When modeling real world entities I would use the second case, because it allows to express the temporal dimension semantics.
The first I would use in the context of temporal reasoning, after selecting the temporal dimension semantics.
These are different use-cases, and unfortunately when reading quickly the examples one get the impression that the first case is the desired usage. It took me a while and (re)reading to understand what was happening in the examples. That is the motivation for this comment.
So an example where an event/business entity is modeled with 2 or more temporal dimensions illustrating the second case would be helpful.
```
ex:dataset1
dct:issued ex:time1
dct:modified ex:time2
```
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Received on Monday, 31 May 2021 11:54:59 UTC