The docs yesterday put into the MOM Simple Set Core framework, today go live. Here's a preview. Later, when gna.org's cron will have updated the MOM SSC website, the whole docs will get their own place. Up to then, I'd keep the preview link mentioned beforehand.
Matching the improved documentation, there's a new tag of the framework, now labeled v0.2.2.
Update: Okay, gna's cron made it to the MOM SSC site, thus, the docs are live and available by their official URL. Therefore removed the preview link above.
Updates: 20070605.14-46h CEST: mentioned the official site went live & removed the preview link.
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Content Representation With A Twist
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What's this all about?
What am I after with MOM?
Why am I after what I am after with MOM?
Why? I wanted to know, how thinking works.
Why? Playing with thesauri to get them laypeople compatible, I noticed a conspicuous similarity of those improved thesaurus graphs to neuronal networks. Hence I dove further in to see how to represent certain forms of content, primarily items (physical and virtual), then inversions, later on more complex content such as neighbourhoods, scales, quantities, orders, sequences (^words), activities, graphs, topography. -- So, why? -- Because I begun this quest, saw the chances of MOM and consider it being my duty to complete it.
What? I want to gather ways to represent every kind of content. In other words: To collect the neuronal structures that store the building blocks of content.
And the benefit?
As previously: Store your text to files -- render them to paper any time you need it. Store your content as XML -- render it to any format you want it to appear like. Store your ideas to MOM -- render them to whatever content media you like -- language, picture, sound, video, ...
Why am I after what I am after with MOM?
Why? I wanted to know, how thinking works.
Why? Playing with thesauri to get them laypeople compatible, I noticed a conspicuous similarity of those improved thesaurus graphs to neuronal networks. Hence I dove further in to see how to represent certain forms of content, primarily items (physical and virtual), then inversions, later on more complex content such as neighbourhoods, scales, quantities, orders, sequences (^words), activities, graphs, topography. -- So, why? -- Because I begun this quest, saw the chances of MOM and consider it being my duty to complete it.
What? I want to gather ways to represent every kind of content. In other words: To collect the neuronal structures that store the building blocks of content.
And the benefit?
As previously: Store your text to files -- render them to paper any time you need it. Store your content as XML -- render it to any format you want it to appear like. Store your ideas to MOM -- render them to whatever content media you like -- language, picture, sound, video, ...
Simple Set Core
Model of Meaning -- Simple Set Core.
The Framework on Gna!.org
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