[http://www.jfsowa.com/pubs/futures.pdf .

We can also distinguish three levels of data: unstrucut:ured, semistructured, and highly structured.

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.

Siri uses middleweight semantics applied to semistructured data.

All these points require more clarification. See the article for some.

John

Yes, and the tragedy of Siri is that lightweight semantics applied to unstructured data runs rings around it, as demonstrated by Google.

Look, if the Siri folks (many who actually know better) had implemented this solution with a little more selflessness they would be running rings around Google today. You wouldn't have Google making a mockery of Siri on its own home turf.

Kingsley
[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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