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jim junk píše v So 01. 05. 2010 v 15:49 -0400:<BR>
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The great thing about hierarchical tags is that you can come in anywhere in the hierarchy and get everything below that point. So to use your example in the Europe/France/Paris/Montmartre tag you could go to the left window>Tags>click on Paris and you would get all the tags and images that are below that level including Montmartre. You could also click on France and get all of the tags and images below that hierarchy including Paris and Montmartre.<BR>
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The trouble with classical tags is that each person can have a different structure.<BR>
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I still use the IPTC location fields (location, city, state, country), the only trouble is that digiKam does not support mass tagging - one has to tag images one by one.<BR>
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there is a bug reported:<BR>
<A HREF="https://bugs.kde.org/show_bug.cgi?id=144858">https://bugs.kde.org/show_bug.cgi?id=144858</A><BR>
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More about IPTC XMP schema:<BR>
<A HREF="http://www.iptc.org/std/Iptc4xmpCore/1.0/documentation/Iptc4xmpCore_1.0-doc-CpanelsUserGuide_13.pdf">http://www.iptc.org/std/Iptc4xmpCore/1.0/documentation/Iptc4xmpCore_1.0-doc-CpanelsUserGuide_13.pdf</A><BR>
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Geo-tagging is nice, but it refers to a particular spot on the globe, not area, and cannot be searched by location names using current tools - maybe in the future, who knows.<BR>
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This is a major show-stopper for me, so I had to adjust my workflow and tag only JPEG images, while keeping untagged raw files in a subfolder. For IPTC location fields I use MaPiVi (very effective tool, but supports only JPEGs). Then I reread metadata in digiKam and use normal keyword tagging in digiKam.<BR>
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If the support for IPTC does not improve in digiKam, I may have to convert my 10 years archive to regular keywords to make the workflow simpler... :-(<BR>
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regards,<BR>
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Milan Knizek<BR>
knizek (dot) confy (at) volny (dot) cz<BR>
http://www.milan-knizek.net - About linux and photography (Czech language only)
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