using active buffer

Last post I gave the code for active buffer. This time a bunch of examples.

Start with an easy one. Given only part of a face, recognize it as a face.
-- define the features of a face:
sa: |body part: face> => 2|eyes> + |nose> + 2|ears> + 2|lips> + |hair>

-- even if we only have a couple of pieces of the face, we can still recognize it as a face
sa: active-buffer[7,0] (2|eyes> + |nose>)
0.750|body part: face>

-- again, hair, nose and lips is enough to say we have a face:
sa: active-buffer[7,0] (|hair> + |nose> + |lips>)
1.625|body part: face>

-- this time we see all parts of the face:
sa: active-buffer[7,0] (2|eyes> + |nose> + 2|ears> + 2|lips> + |hair>)
7.125|body part: face>
Given some knowledge of internet acronyms, interpret a sentence full of them:
-- load some data:
sa: load internet-acronyms.sw

-- read a short sentence:
sa: read |text: fwiw I think it is all fud imho, lol. thx.>
|word: fwiw> + |word: i> + |word: think> + |word: it> + |word: is> + |word: all> + |word: fud> + |word: imho> + |word: lol> + |word: thx>

-- apply active buffer to this:
sa: active-buffer[7,0] read |text: fwiw I think it is all fud imho, lol. thx.>
2.593|phrase: For What It's Worth> + 6.038|phrase: Fear, Uncertainty, Doubt> + 5.279|phrase: In My Humble Opinion> + 4.186|phrase: Laughing Out Loud> + 2.593|phrase: Thanks>
The breakfast menu example:
sa: load next-breakfast-menu.sw 
sa: description |food: Homestyle Breakfast>
|text: "Two eggs, bacon or sausage, toast, and our ever-popular hash browns">

-- read the description for Homestyle Breakfast
sa: read description |food: Homestyle Breakfast>
|word: two> + |word: eggs> + |word: bacon> + |word: or> + |word: sausage> + |word: toast> + |word: and> + |word: our> + |word: ever-popular> + |word: hash> + |word: browns>

-- apply active-buffer to this:
sa: active-buffer[7,1] read description |food: Homestyle Breakfast>
|number: 2> + |food: eggs> + |food: bacon> + |food: sausage> + |food: toast> + |food: hash browns>
The Fred/Mary/pregnancy example:
-- first load up some knowledge:
sa: |person: Fred Smith> => |word: fred> + |word: freddie> + |word: simth> + |word: smithie>  -- various names and nick-names
sa: |person: Mary> => |word: mazza>                                                           -- just a nick-name
sa: |greeting: Hey!> => |word: hey>
sa: |question: what is> => |word: what's>
sa: |direction: up> => |word: up>
sa: |phrase: having a baby> => read |text: having a baby>
sa: |phrase: in the family way> => read |text: in the family way>
sa: |phrase: up the duff> => read |text: up the duff>
sa: |phrase: with child> => read |text: with child>
sa: |concept: pregnancy> => |phrase: having a baby> + |phrase: in the family way> + |phrase: up the duff> + |phrase: with child>

-- now start playing with it:
sa: active-buffer[7,0] read |text: Hey Freddie what's up?>  
2.083|greeting: Hey!> + 1.500|person: Fred Smith> + 2.917|question: what is> + 2.083|direction: up> + 1.250|phrase: up the duff>
-- up the duff is in there because of the word "up"

-- now test phrase matching a concept, in this case phrases that mean pregnant.
sa: active-buffer[7,0] read |text: Hey Mazza, you with child, up the duff, in the family way, having a baby?>
2.593|greeting: Hey!> + 4.186|person: Mary> + 11.586|phrase: with child> + 6.857|direction: up> + 23.414|phrase: up the duff> + 25.000|phrase: in the family way> + 9.224|phrase: having a baby>

-- one more layer of active-buffer:
sa: active-buffer[7,0] active-buffer[7,0] read |text: Hey Mazza, you with child, up the duff, in the family way, having a baby?>
11.069|concept: pregnancy>
Some notes:
1) this code goes some way towards a computer understanding what it is "reading", if you can say a computer can read.


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next: introducing bridging sets

updated: 19/12/2016
by Garry Morrison
email: garry -at- semantic-db.org