Comments on: Why I Migrated Over to Twine (And Other Social Services Bit the Dust)

By: Hrafn Thorisson

Hrafn Thorisson — Thu, 27 Jun 2013 16:50:26 +0000

Thanks man. Sorry, been out of touch with the blogworld past few years. But if you find any cool ones, let me know!

By: Jason

Jason — Mon, 24 Jun 2013 00:49:12 +0000

Hello! This is my first comment here so I just
wanted to give a quick shout out and say I truly enjoy reading your posts.

Can you recommend any other blogs/websites/forums that cover
the same subjects? Many thanks!

By: Rayna Agne

Rayna Agne — Wed, 06 Feb 2013 07:01:35 +0000

I conceive this website holds some really superb info for everyone. “Few friendships would survive if each one knew what his friend says of him behind his back.” by Blaise Pascal.

By: Rave

Rave — Wed, 20 Jul 2011 23:24:10 +0000

Interesting site, keep up the hard work. I found you through the 9rules website.

By: Hrafn Thorisson

Hrafn Thorisson — Thu, 09 Jun 2011 18:08:54 +0000

Thanks for the praise. I designed it myself through hard work and sweat. See more about it here, Gray Matter. Good luck with your site.

By: barron thomas

barron thomas — Thu, 09 Jun 2011 04:59:53 +0000

I love your blog.. very nice colors & theme. Did you make this website yourself or did you hire someone to do it for you? Plz answer back as I’m looking to design my own blog and would like to find out where u got this from. cheers

By: jennifer83

jennifer83 — Sun, 02 Jan 2011 04:11:55 +0000

For the sake of easy digest, we

By: Winding Machine ·

Winding Machine · — Sun, 14 Nov 2010 15:34:11 +0000

french translation is kind of hard at first but if you get used to it, then it is easy :”"

By: Stray Dog Strut » Blog Archive » Big ball of Twine

Stray Dog Strut » Blog Archive » Big ball of Twine — Sat, 05 Sep 2009 13:05:08 +0000

[...] anyway. One of the services aiming to deliver a semantic web is Twine by Radar Networks. I read an article about Twine on Think Artificial a few weeks ago and tonight I thought I’d take it for a spin. Twine describes itself as a [...]

By: Do taste tags exist? | Life Long Learning

Do taste tags exist? | Life Long Learning — Sun, 19 Jul 2009 14:31:13 +0000

[...] the blog post Why I Migrated to Twine, the author feels the semantic garden that Twine interacts with “uses machine learning & [...]

By: Jerry Waxman

Jerry Waxman — Wed, 19 Nov 2008 10:58:10 +0000

Well done, Hrafn,
I am still a novice to Twine. But I noticed that without ever having started a twine, or commented on a twine, somehow my profile on twine was picked up by Google pretty quickly.
Implications for marketing are great. As I am at a beginning learning stage, thank you, Hrafn, for sharing your in depth understanding of this ingenious tool.

By: Dump Delicious And Dig(g) Deeper With Twine | MakeUseOf.com

Dump Delicious And Dig(g) Deeper With Twine | MakeUseOf.com — Tue, 11 Nov 2008 15:01:59 +0000

[...] For a much more detailed review also covering the technology behind Twine please visit Think Artificial. [...]

By: Hrafn

Hrafn — Tue, 16 Sep 2008 23:51:06 +0000

Quick note on the question of importing bookmarks: that feature is now live. You can import Delicious bookmarks as well as your browser bookmarks.

By: Twine: my first impression

Twine: my first impression — Wed, 10 Sep 2008 15:58:25 +0000

[...] on Twine here. This work, unless otherwise expressly stated, is licensed under a Creative Commons [...]

By: Hrafn

Hrafn — Sun, 07 Sep 2008 12:07:13 +0000

Glad my article helped, DF.

A question: does Twine have 1 unique RDF for every “thing”?
For example: 1 for the book “Jurassic Parl”, 1 for this blog post, 1 for the “HP Scanner Model 1″, etc?

Well, yes, it does have a unique ID for every ‘thing’, and everything is a thing that goes into it. However, like you note, there can be duplicates of the same ‘thing’. This is good in some cases, for example when the book Jurassic Park (and Twine knows it’s a ‘book’, and each associated property; ‘price’, ‘author’, etc.) is available in more than one store, in which case the ‘price’ may vary and the user would like to sort things accordingly.

But it isn’t so good for other things, like persons. We want a person to be a coherent thing. And this is a future issue that remains open. For now, at least we’re taking the step of giving data semantics and richer metadata. Later we’ll have to deal with issues like this one. (And by ‘we’ I mean the human race.)