SCM file: Beginners Info

[vishnup...@gmail.com]

Hello All,

I have a text file "John.txt", which has  the following:

John eats apple.

Mary eats mango.

End.

Mike eats orange.

I have converted it into cff (which is in the form of xml, "John.xm"l)  by using "batch-process.sh"  and in turn converted  that into scm (John.scm) using ./cff-to-opencog.pl. Because when i straightly tried converting a text file into scheme file, i got only this:

(ReferenceLink (stv 1 1)

(DocumentNode "document@f313865f-35a5-48eb-8f56-92786a7a4d57")

(ListLink

)

)

I expected "John.scm" to be something  like this :

(EvaluationLink
   (PredicateNode "eat") 
    (ListLink 
        (VariableNode "John") 
        (ConceptNode “apple")
 ) 

(EvaluationLink
   (PredicateNode "eat") 
    (ListLink 
        (VariableNode "Mary") 
        (ConceptNode “mango")
 ) 

But the "John.scm" appears to be somewhat different.  Is this file making sense?  or should i make my own script instead of ./cff-to-opencog.pl. 

This question may sound stupid. But may help beginners.

(I have attached scm, txt and xml file for reference)

Any guidelines would be very helpful.

Thanks in advance

Vishnu




[AmeBel]

Hi,

Yes, John.scm makes sense. That is the relex output. If you want the pattern you described, then you need to use relex2logic. See http://wiki.opencog.org/wikihome/index.php/Running_Relex2Logic_with_OpenCog ?

you will get

 (EvaluationLink                                                      

   (PredicateNode "eats@120c7dae-5ae2-49f0-a50c-85cecfe1c104")        

   (ListLink                                                          

      (ConceptNode "John@edc25b98-bb81-4916-badd-fd06b829c3c0")       

      (ConceptNode "apple@4ade504b-c8f1-41be-bec6-0186f1e81103")      

   )                                                                  

which is not the fully abstracted(aka normalized) version.

[vishnup...@gmail.com]

Thanks for the reply AmeBel!!

[Linas Vepstas]

cff-to-opencog.pl only runs the relex stages of the NLP processing.  It has only one purpose in life: to be able to parse large wikipedia or other texts, and save them to a file, so that you do NOT have to re-parse them later on.

It probably does not make sense for you to mess with cff-to-opencog.pl, because, at this point in time, it probably does not make sense for you to try to create huge, giant batches of parsed text.

The cff-to-opencog.pl was orignally created to do corpus linguistics -- to build up giant databases of statistics on various linguistic phenomena.  Unless you are also doing this, its kind-of pointless to mess with it.

--linas

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