Re: [ontology-summit] [Making the Case] Barriers to adoption of ontologi

[Antoinette Arsic <aarsic@xxxxxxxxxxx>]

Ah, thank you so much John. I was only coming up with Level of Detail : )  Interesting! I've only been working with Aerotext for NLP and TopBraid Composer and Protege for ontology development.

Antoinette Arsic
Have a great day!

----- Original Message -----
From: "John F. Sowa" <sowa@xxxxxxxxxxx>
To: ontology-summit@xxxxxxxxxxxxxxxx
Sent: Sunday, February 27, 2011 9:45:55 PM
Subject: Re: [ontology-summit] [Making the Case] Barriers        to        adoption        of        ontologies

On 2/27/2011 5:08 PM, Antoinette Arsic wrote:
> I have searched and cannot find in context what LOD stands for.
> I'd like to learn more about that.

I should have spelled out the acronym at first use.

LOD stands for Linked Open Data.  The term was coined by Tim B-L:

    http://www.w3.org/DesignIssues/LinkedData.html

A prototypical example is DBpedia, which makes facts in the
Wikipedia accessible by DB-style queries:

    http://dbpedia.org/About

DBpedia has a rudimentary ontology, but it's closer to a terminology
than an axiomatized ontology.

However, the overwhelming amount of data on the WWW doesn't obey
Tim's rules.  Therefore, it's necessary to develop methods for
analyzing raw natural language text.

IBM Watson takes advantage of LOD, including the DBpedia, but it
also does an enormous amount of analysis of raw English text.

Even for data that is in the DBpedia and other LOD resources,
Watson can't rely on the ontology because the way things are
classified in those ontologies rarely correspond to the way
a Jeopardy question would classify them.

John
 
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