On Tue, Oct 11, 2016 at 10:19 PM, vishnu <[email protected]> wrote:

> Hello all,
>
> Say, I have the following example sentences
>
>
>    - apple is rich in vitamins.
>    - apple makes the doctor away.
>    - apple is healthy.
>    - apple is red in color.
>    - eva eats apple.
>    - Steve Jobs invented apple.
>    - apple iphone is usually costly.
>    - headquaters of apple inc. is in california.
>    - apple products are robust.
>
>
> i just parsed these sentences and got R2L outputs. Example of one such
> output is as follows (apple products are robust):
>
> ((ImplicationLink
>    (PredicateNode "robust@a80f418c-0d57-477d-8d77-7077068e3033")
>    (PredicateNode "robust" (stv 0.045454547 0.0012484394))
> )
>  (InheritanceLink
>    (ConceptNode "products@c9f041f5-5583-4cb0-ab57-eec13624a28b")
>    (ConceptNode "product" (stv 0.019607844 0.0012484394))
> )
>  (EvaluationLink
>    (PredicateNode "robust@a80f418c-0d57-477d-8d77-7077068e3033")
>    (ListLink
>       (ConceptNode "products@c9f041f5-5583-4cb0-ab57-eec13624a28b")
>    )
> )
>  (InheritanceLink
>    (InterpretationNode "sentence@293aa7fb-891c-48a5-
> ab25-e5be24cbbf47_parse_0_interpretation_$X")
>    (DefinedLinguisticConceptNode "DeclarativeSpeechAct")
> )
>  (InheritanceLink
>    (ConceptNode "apple@7f6ace14-d5bf-4ffb-aa3b-dfc4bce59f7a")
>    (ConceptNode "apple" (stv 0.17647059 0.011124846))
> )
>  (InheritanceLink
>    (ConceptNode "products@c9f041f5-5583-4cb0-ab57-eec13624a28b")
>    (ConceptNode "apple@7f6ace14-d5bf-4ffb-aa3b-dfc4bce59f7a")
> )
> )
>
>
> 1.  When you look at the example sentences, you will know that i have
> framed all sentences with the word "apple" that comes in two different
> contexts.  Apple as a fruit and and as a company. I think,  Atoms have
> multiple truth values depending upon the context. (I assume Atoms with the
> same Context will have similar Truth Values.?!) . Is it possible to filter
> atoms based on  some TV depending upon particular context?
>
> 2.  Like STV, i am unable to see STI  in the  R2L output.  I assume the
> atom with the highest number of links gets  automatically high STI value.
> So is it possible to retrieve top most important atoms based on STI ? (
> also may be top atom's related atoms in a similar context).  If so, how can
> i acheive that?
>

Inorder to get set STI values for the atoms, you need to start the ECAN
<http://wiki.opencog.org/w/Attention_Allocation> system and you also you
need to stimulate the atoms manually via the guile shell using the
cog-stimulate guile function or you can write an agent which will stimulate
the atoms based on some conditions. The code is found here
<https://github.com/opencog/opencog/tree/master/opencog/attention>  and is
currently being maintained by me and Roman. Currently, I am testing the STI
spreading behaviour on large atomspace by setting the various parameters
defined in the system. Let us know if you have further questions and
interest on this.

>
> 3. The process of forgetting and recovering from the disk is possible only
> when i save atoms in postgres. So everytime when i have huge text, i should
> parse each line using (nlp-parse ""), convert into R2L output  using
> (parse-get-r2l-outputs.....)  and in turn should store the obtained results
> in postgres.   Am i missing anything here?.
>
>
>
> Thanks in advance
> Vishnu
>
>
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-- 
Belachew Misgana Bayetta
'For everyone who asks receives, and the one who seeks finds, and to the
one who knocks it will be opened ' --Jesus

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