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Re: [ontolog-forum] Toward Human-Level Artificial Intelligence

To: ontolog-forum@xxxxxxxxxxxxxxxx
From: John F Sowa <sowa@xxxxxxxxxxx>
Date: Sun, 27 Apr 2014 17:12:26 -0400
Message-id: <535D72BA.9070000@xxxxxxxxxxx>
Kingsley,    (01)

I agree with you that DBpedia is a very large database with a very
large amount of information that can support a significant amount
of question answering and reasoning about the answers.    (02)

I also agree that Schema.org is a hierarchy of terms that do not
contain anything that resembles the facts contained in DBpedia.    (03)

But note that Schema.org contains a lot OWL-level specifications,
including the GoodRelations ontologies.  That is the point I was
making in the following statement:    (04)

JFS
>> The DBpedia terms are at the same level of vagueness as Schema.org.    (05)

KI
> No they aren't. You can reason using the DBpedia ontology, you can't
> using Schema.org without using some post processing to fix all its
> denotation related ambiguities.    (06)

Could you give some examples of similar terms -- as specified
in DBpedia and in Schema.org.  And show what post processing you
need to do with the Schema.org terms to resolve the ambiguities.    (07)

John    (08)


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