Emw, I think that's a really amazing idea. One of the things I'm working on at the moment is modelling the instanceOf and subclassOf graphs. Of course this help me understand that certain properties are "chainable". That is for a property P, and if 'a' has P to 'b' (I'll write 'aPb'), then there exists a 'c' such that bPc.
Do you imagine that all your 3 causes (C1, C2, and C3) are chaniable, and chainable with each other? That is, potentially, aC1b, bC2c, cC3d. And then we can make some inference between 'a' and 'd'? Max Klein ‽ http://notconfusing.com/ On Fri, Sep 19, 2014 at 4:58 PM, Emw <emw.w...@gmail.com> wrote: > Hi all, > > Talk about causes is ubiquitous in everyday life and many other domains of > knowledge. Until recently, we've had a few properties to make statements > about cause in certain narrow areas, but lacked a way to structure data > about causes across a broad range of subjects. For example, you might want > to know: > > - What caused World War II? > - What causes evolution? > - What causes malaria? > - What causes bread to rise? > - What causes rust? > - What causes gravity? > - What causes rainbows? > > Wikidata now has some new properties that provide structure for basic > answers to such questions. > > - *has cause* (alias: *has underlying cause*): thing that ultimately > resulted in the effect [1] > - *has immediate cause*: thing that proximately resulted in the effect > [2] > - *has contributing factor*: thing that significantly influenced the > effect, but did not directly cause it [3] > > This approach to modeling causation attempts to balance expressiveness > with simplicity. It borrows from the idea of causation as a "chain of > events", which also has background conditions or events that set the stage > for some outcome. These properties are not perfect, but they do allow us > to capture much richness in how various sources talk about causes -- and to > do so in a way that humans can easily understand. > > https://www.wikidata.org/wiki/Help:Modeling_causes explains these > properties, their background, examples, things to avoid, issues and > context. Please comment on the 'Help:Modeling causes' talk page, or here, > with any feedback. > > Hopefully we'll be able to build some cool stuff with this. > > Cheers, > Eric > > https://www.wikidata.org/wiki/User:Emw > > 1. *has cause*. https://www.wikidata.org/wiki/Property:P828 > 2. *has immediate cause. *https://www.wikidata.org/wiki/Property:P1478 > 3. *has contributing factor.* https://www.wikidata.org/wiki/Property:P1479 > > _______________________________________________ > Wikidata-l mailing list > Wikidata-l@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikidata-l > >
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