I'm standing at a computer at the Oslo airport, so I'll keep it
short.
In the following paper, I discuss three levels of semantics:
lightweight, middleweight, and heavyweight: http://www.jfsowa.com/pubs/futures.pdf
.
We can also distinguish three levels of data: unstrucut:ured,
semistructured, and highly structured.
DN: John, this is highly relevant to a project I am working on with a large US Government agency. I would like to introduce some of your work to them. Although the similarity exists, I have always hated the term "Semi Structured". Structured is a boolean value IMHO. There are several aspects to it such as determinism, syntax etc but the reality is that if a file has a structure, no matter how simplistic, it still is structured. Of course this gets into the whole " is null a value" argument.
That allows 9 combinations of
data structuring and semantics applied to the data.
Much of the
discussion on this forum has been at the level of highly structured data
with heavyweight semantics.
A search engine typically uses
lightweight semantics with unstructured data.
DN: Which search engine are you discussing specifically? You are correct.
The Kansas City Shuffle is in full effect here. So many people are focused on the wrong areas of SEO WRT content parsing and declaration. The fact is that major search engines do not case about RDF, OWL etc.
Very cool stuff.
Siri uses middleweight
semantics applied to semistructured data.
All these points require
more clarification. See the article for some.
John
>
On 1/26/13 6:55 PM, segun alayande wrote:
>> This does not
make a point for Siri's non-adoption of the standards.
>>
There was the admission that they have benefited from other people
>> implementing and exposing data models through these standards
in their
>> end-points.
> +1000
>
>
They (like most Web 2.0 model plays) have dragged their feet re.
> publishing or releasing an SDK or APIs -- that would have enabled
3rd
> party developers enhance Siri with domain and subject
matter specific
> knowledgebases.
>
> Google
has successfully made a mockery of Siri due to myopia that's
>
always dogged this product, and for good reason :-)
>
>
> Kingsley
>>
------------------------------------------------------------------------
>> Date: Sat, 26 Jan 2013 17:11:33 -0500
>>
From: sowa@xxxxxxxxxxx
>> To: ontolog-forum@xxxxxxxxxxxxxxxx
>> Subject: Re: [ontolog-forum] Realist Ontology in Mainstream
Media
>>
>> I'd like to point out the following
excerpt from an interview with Tom
>> G.
>> John
>> _________________________________________________________
>> *Nova Spivack*: What about the Semantic Web? Is Siri built
with
>> Semantic Web open-standards such as RDF and OWL,
Sparql?
>> *Tom Gruber*: No, we connect to partners on the web
using structured
>> APIs, some of which do use the Semantic
Web standards. A site that
>> exposes RDF usually has an API
that is easy to deal with, which makes
>> our life easier. For
instance, we use geonames.org as one of our
>> geospatial
information sources. It is a full-on Semantic Web endpoint,
>>
and that makes it easy to deal with. The more the API declares its
>> data model, the more automated we can make our coupling to it.
>> Source:
>>
http://www.novaspivack.com/technology/how-hisiri-works-interview-with-tom-gruber-cto-of-siri
>>
>>
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> --
>
> Regards,
>
> Kingsley Idehen
> Founder & CEO
>
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