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Re: 15 Ways to Think About Data Quality (Just for a Start)

From: Kingsley Idehen <kidehen@openlinksw.com>
Date: Tue, 12 Apr 2011 10:05:18 -0400
Message-ID: <4DA45C1E.2000009@openlinksw.com>
To: glenn mcdonald <glenn@furia.com>
CC: "public-lod@w3.org" <public-lod@w3.org>
On 4/12/11 9:53 AM, glenn mcdonald wrote:
> On Tue, Apr 12, 2011 at 8:58 AM, Kingsley Idehen 
> <kidehen@openlinksw.com <mailto:kidehen@openlinksw.com>> wrote:
>     1.
>     http://lod.openlinksw.com/describe/?uri=http%3A%2F%2Fdbpedia.org%2Fresource%2FMichael_Jackson
>     -- basic description of 'Micheal Jackson' from DBpedia
> The very first assertion on this, your first link, is 
> "is sameAs of: Michael Rodrick". And you wonder why I keep distracting 
> your technology demos by talking about data quality...
Again, do you not understand the fundamental point? There is an 
inaccurate assertion in a relation in a give data space. How do you fix 
it if you can't see it in the first place? Subjectively bad data can 
lead to subjectively improved data.

You take a single assertion from a 21 Billion+ data space, and decide 
that's the essence of the matter. Finding this assertion (needle in the 
21 Billion+ haystack) is part of the point. Negating the errant named 
graph all together is another, post discovery. Not reasoning on owl:same 
assertion is yet another.



Kingsley Idehen	
President&  CEO
OpenLink Software
Web: http://www.openlinksw.com
Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca: kidehen
Received on Tuesday, 12 April 2011 14:05:44 UTC

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