keywords in LightRoom

AlunFoto alunfoto at gmail.com
Mon Oct 5 04:30:04 EDT 2009


Heh. Just looke through the thread in the archive, and apparently I'm
just repeating myself. :-(
Sorry about the wasted bandwidth.
Jostein

2009/10/5 AlunFoto <alunfoto at gmail.com>:
> Boris,
> It's inside the catalog.
> What you ought to do is to export the keywords. THen you get a
> structured text file which you can edit in a standard editor, and then
> import back into LR afterwards.
>
> There's one important thing you need to know, though, which I didn't
> know myself when I wrote the below.
> Let's call the hierarchy a "tree" -structure. Each category holding
> subcategories or keywords will then be a "branch", and the endpoints,
> the most detailed keywords, will be "leaves".
>
> The important thing is this: when you re-import the keywords to LR,
> the program is bright enough to understand it if you add more leaves
> to a branch, or if you add another branch to the tree. But it does NOT
> understand it if you move a leaf from one branch to another. Then you
> will end up with two keywords with the same name on different
> branches. To update the keywords on your existing files, you will have
> to add the new and remove the old keyword for all affected images.
>
> Jostein
>
> 2009/10/4 Boris Liberman <boris71 at gmail.com>:
>> Jostein, do you also happen to know where LR2 stores the keywords it knows,
>> as I'd like to play with it some having read your story below?
>>
>> Boris
>>
>>
>>> I never saw the LR1.
>>> In v2, you can create a text file with a certain indented format, that
>>> will import to LR as a hierarchy. It works like this:
>>>
>>> Animals
>>>     Pets
>>>          Cats
>>>          Dogs
>>>     Livestock
>>>          Pigs
>>>          Horses
>>>
>>> If you assign the keyword "Horses" to a picture, it automatically also
>>> gets Animals and Livestock.
>>>
>>> If you want a keyword "container" that's supposed to be just a
>>> placeholder for terms, not a keyword you can enclose it in square
>>> brackets, eg. "[Animals]". Assigning the keyword "Horses" to an image
>>> will then make LR supply Livestock, but not Animals.
>>>
>>> Further, you can supply synonyms by using curly brackets:
>>>
>>> [Animals]
>>> ....
>>>     Livestock
>>>          Pigs
>>>                {Swines}
>>>          Horses
>>>                {Equines}
>>>
>>> "equines" is now a synonym for Horses, meaning that when assigning
>>> "Horses" to an image, it also becomes searchable for the synonym.
>>
>>
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>
>
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