Well, so I'd like to be able to merge JSON-LD ontologies with obo 
ontologies and owl ontologies, just the way that pronto does for owl and 
obo (here's my branch of pronto where I've already began building some JSON 
tools: https://github.com/jac2130/pronto).  Ultimately, I think that 
loading in, merging and converting between ontology formats might be a 
common enough activity and one that getting right is worth the effort, so 
that it is worth the effort in having one tool that can load and convert 
any ontology and then also one code that loads ontological information in 
the most correct way possible into the AtomSpace.  It makes no sense to me 
why there is one tool to load some genome ontology and another one to load 
in ConceptNet--there should be one tool for loading various formats into 
the AtomSpace and also that converts output from the opencog system back to 
those common formats (in particular, JSON-LD), so that it can be used in 
the usual way by other applications.  The other thing that seems 
sub-optimal with this code is that it loads the CSV version rather than 
engaging with the JSON-LD data directly.  Doing the latter would allow 
effortlessly merging other JSON-LD data with ConceptNet and adding all of 
that into the AtomSpace in a consistent way that can be improved and 
interrogated in a clean way such that it applies to all ontologies in a 
uniform way.  I'll be working on such code, lest you think it is a waste of 
time?   

johannes

On Thursday, February 21, 2019 at 3:59:43 AM UTC, amebel@hr wrote:
>
> Hi Johannes*,*
>
> The script is found at 
> https://github.com/opencog/external-tools/tree/master/cnet_importer
>
> On Thursday, February 21, 2019 at 12:45:22 AM UTC+8, Ben Goertzel wrote:
>>
>> We already have code that imports ConceptNet into Atomspace. 
>>
>> Amen has worked with it... 
>>
>> On Thu, Feb 21, 2019 at 12:43 AM Linas Vepstas <[email protected]> 
>> wrote: 
>> > 
>> > I think that, for starters, importing the concept-net data into the 
>> atomspace would be a good start. 
>> > 
>> > This would be a multi-step process: 
>> > 1) import it any-old-how 
>> > 2) import it such that the format is compatible with the existing nlp 
>> subsystem 
>> > 3) build some rudimentary question-answering system (on that can only 
>> answer 1 or 2 or 3 question types, from the imported data 
>> > 4) see if you can do anything whizzy with PLN 
>> > 
>> > I think I ordered this in terms of difficulty/complexity.  I think I 
>> would be very interested in looking at, overseeing, advising steps 2,3... 
>> > 
>> > --linas 
>> > 
>> > On Wed, Feb 20, 2019 at 6:25 AM Johannes Castner <[email protected]> 
>> wrote: 
>> >> 
>> >> Hi everyone, 
>> >> 
>> >> I think I might want to try to improve on the solution below using 
>> opencog in some way.  In particular, maybe the solution could be improved 
>> by first inferring some connections between ideas that are not represented 
>> in ConceptNet, from the ConceptNet data -- things that are likely also true 
>> but that are not expressed and then doing the embeddings on the more 
>> complete graph.  Any thoughts?  How does one get to more metaphorical and 
>> less explicit knowledge?  I find this endlessly fascinating! 
>> >> 
>> >> http://blog.conceptnet.io/posts/2016/conceptnet-5-5-and-conceptnet-io/ 
>> >> 
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>> > 
>> > 
>> > -- 
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>>
>> -- 
>> Ben Goertzel, PhD 
>> http://goertzel.org 
>>
>> "Listen: This world is the lunatic's sphere,  /  Don't always agree 
>> it's real.  /  Even with my feet upon it / And the postman knowing my 
>> door / My address is somewhere else." -- Hafiz 
>>
>

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