Tag: folksonomy

I enabled multi tag searching today in Blosxonomy. This is a feature that was already in place, but my URL processing didn't account for. Multi tag searching allows you to lookup entries that match any or all tags specified in the query string - for instance:

http://www.timfanelli.com/tags/svn/apple

Will lookup all entries that are tagged "svn" and "apple".

http://www.timfanelli.com/tags/svn+apple

Will lookup all entries that are tagged "svn" or "apple".

This opens up the possibility to do some cool things, such as showing a "related tag cloud" instead of the full tagcloud when you're searching on a tag. Clicking on a tag in the related tag cloud could append the new tag as an and or an or, allowing to your refine your results with a dynamic view of available relationships.

This feature will be relesed with blosxonomy 0.6.

I recently decided it'd be fun to learn the Ruby language, and that a worthy undertaking to do so would be to port pyBlosxom - which I've been using for a little over a year now. The result is something I'm quite proud of, and am still actively working on -- Blosxonomy.

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I added a feature to folksonomy tonight that lets you explicitly define relationships between stories using Folksonomy. To do this, just add a comma separated list of / for the entries you want to be related to. For instance, I'm forcing this entry to be related to my Folksonomy Update post, by adding the following to its metadata section:

#related item/folksonomy_update.txt

You'll notice that it is the first entry in my related stories section -- explicit relations are evaluated before any others are inferred, and therefore take precedence.

This feature is available in Folksonomy 1.4

Just a quick note that I updated (read: corrected) the algorithm for finding related stories in folksonomy. It occurred to me last night that an entry should be most closely related to itself, and in my previous implementation that was almost never the case. Related entries are now ranked based on how many tags they share with the entry in question, which is what I think I intended to do the first time around. Not sure what I was smokin, but that not even close to what it was doing.

I wrote a quick plugin this morning to generate links to related books (or other items) at Amazon.com using Amazon's Web Services (AWS), based on your entry's tags.

The plugin queries AWS's ItemSearch for each tag in an entry, and then sorts out the results in decreasing order of how many tags a product was returned in. Links are then generated using Amazon's product images for the top N results, where N is some configurable number of products. All the links are generated using your own Amazon Associates ID as well.

You can download it here

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Folksonomy 1.2 is avaialble for download

Folksonomy is a pyBlosxom plugin that infers relationships between your blog entries based on tags; providing links to related stories, links to related tags, a tag cloud, and the ability to search for entries by tag.

What's New: As of Folksonomy 1.2, there are no longer any dependencies on other plugins. Folksonomy is now a complete tagging solution for pyBlosxom. If you're already using Tags or Tag Cloud, simple replace those plugins with Folksonomy, and you'll still have all the same functionality you had before!

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I published the first release of my Folksonomy plugin tonight. Folksonomy infers relationships between your pyBlosxom entries based on their tags, allowing you to generate lists of related stories for each entry.

I still have a couple items to polish up, and I want to merge my tag_cloud plugin into Folksonomy before I submit it to the pyBlosxom registy, but you can get this first pass here.