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Re: Take 2: How To Do with deal with the Subjective Matter of Data Quality?

From: Deborah MacPherson <debmacp@gmail.com>
Date: Thu, 7 Apr 2011 19:45:19 -0400
Message-ID: <BANLkTi=0Afsqf4=OsBYYbnCwXi=oXyWnTw@mail.gmail.com>
To: Kingsley Idehen <kidehen@openlinksw.com>
Cc: public-lod@w3.org, "semantic-web@w3.org" <semantic-web@w3.org>, "dbpedia-discussion@lists.sourceforge.net" <dbpedia-discussion@lists.sourceforge.net>
I think data quality conforms to metrics and repeatable processes. While
some data, and data structures, can be beautiful - data quality should mean
long lasting whereas some of the most beautiful things like sunsets are only
temporary.

Deborah MacPherson

On Thu, Apr 7, 2011 at 2:03 PM, Kingsley Idehen <kidehen@openlinksw.com>wrote:

> All,
>
> Clearer Subject Heading.
>
> Increasingly, the issue of data quality pops up as an impediment to Linked
> Data value proposition comprehension and eventual exploitation. The same
> issue even appears to emerge in conversations that relate to "sense making"
> endeavors that benefit from things such as OWL reasoning e.g., when
> resolving the multiple Identifiers with a common Referent via owl:sameAs or
> exploitation of fuzzy rules based on InverseFunctionProperty relations.
>
> Personally, I subscribe to the doctrine that "data quality" is like
> "beauty" it lies strictly in the eyes of the beholder i.e., a function of
> said beholders "context lenses".
>
> I am posting primarily to open up a discussion thread for this important
> topic.
>
> --
>
> Regards,
>
> Kingsley Idehen
> President&  CEO
> OpenLink Software
> Web: http://www.openlinksw.com
> Weblog: http://www.openlinksw.com/blog/~kidehen
> Twitter/Identi.ca: kidehen
>
>
>
>
>
>
>


-- 
********************************************************

Deborah L. MacPherson CSI CCS, AIA
Specifications and Research Cannon Design
Projects Director, Accuracy&Aesthetics


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Received on Thursday, 7 April 2011 23:45:48 UTC

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