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Navigation Layer:  Making Sense Of It All April 2010 Polish IA Summit, Warsaw
[object Object],[object Object],James Kalbach
Metadata Structure Sense Making
P O P U L A R I T Y ITEMS Head = Hits Long Tail = Niche Markets
[object Object],“ ”
[object Object],Kevin Kelly Findability
The solution to the overabundance of information is more information “ ”
Navigation Layer
 
 
 
No Frame of Reference
 
 
 
STRUCTURE M E T A D A T A Users Algorithms Experts Users Algorithms Experts GTN
[object Object]
http://www.flickr.com/photos/arimoore/3816335057/ Information Foraging
http://www.flickr.com/photos/lindenbaum/357980051/in/set-72157594481060620 Metadata Harvesting
http://www.flickr.com/photos/bitzi/178374312/ Sense Making
[object Object]
CONTENT News Research Blogs Twitter … Beyond Findability: Sense Making
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http://www.aalab.net/projects/maps/
 
 
“ Clutter and confusion are failures of design, not attributes of information.” Edward Tufte
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
[object Object],Don‘t know what you need to know
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
There is a cost to adding more and more Any and All Metadata and Structures Information Foraging  Metadata Harvesting Findability  Sense Making
Thank You [email_address] www.experiencinginformation.com

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The Navigation Layer - Making Sense Of It All

Hinweis der Redaktion

  1. Another type of metadata that has potential in the future is technically generated metadata. Text mining and algorithms can do a lot of the work. For instance, entity extraction can pick out proper names and key topics in news articles. Here is an example of top themes for a day from Google news. An algorithm picked this list and displayed them as “hot items” for the day. If you click one you then get all the news stories with mentions of those entities. This kind of metadata scales up quickly and once the algorithm is in place can be inexpensive to run. But isn’t easy to do and it might be inaccurate .As you can see from the results here, this is a mixed bag of things. Now that becomes another piece of metadata that we can use to search and sort on.