Library clips :: September

September 26, 2006

Where is Technorati discover for blog directory topics?

Technorati Blog Directory is only just that, a blog directory, with an OPML for good measure.

Where has the exploring part gone, where you can view the latest posts from a topic in the blog directory,

eg. folksonomy, I can’t see the latest posts, or grab the feed.

You can search within “blogs about folksonomy” eg. furl…this gives me the latest posts that contain the term “furl” from the “blogs about folksonomy”.

What I want to do is a blank search so I just see the latest posts in general.

Where has this feature gone, it seems they only have house made ones in the Discover section.

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Social networking for IT Toolbox

Filed under: newsmaster

I reviewed the IT Toolbox a while back and was blown away…perfect web 2.0 knowledge sharing portal for the enterprise.

According to Luis Suarez they have now added a social networking feature, here is Luis’s profile.

As you can see it is like a profile page, I like that it creates a river of news streams for profiles you have marked as friends (what about an OPML or spliced feed?), and a comments section…I wonder what’s coming next, people tags perhaps…

ID’s or profiles are in vogue at the moment…claimID, naymz, simplifID, ziki (this allows you to re-syndicate your content from all over the web), peoplefeeds, SuprGlu (this is more limited than ziki), etc…

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Pluggd : search full-text and tag sections of an audio file

Filed under: search

TechCrunch has a post on Pluggd, this is a searchable speech recognition service for audio.

What happens is that you can search an audio file for keywords, it then highlights where those keywords appear on a timeline (also highlights related terms)…this is great if you have a 1 hour audio file and you just want to hear a section you are interested in.

This is granular sections of an audio file, kind of like paragraphs in a story, and I believe you can even tag these sections.

Wow, social search for parts of audio files, search full-text of an audio files, and search not only the file by tag, but parts of the file by tag…this is as granular as it gets.

Hmmm…I mentioned something like this in my post, Granular tagging or index tagging (see “More” section).

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