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 The content of this email may contain private and confidential information. Do not forward, copy, share, or otherwise distribute without explicit written permission from all correspondents. ********************************************************Received on Thursday, 7 April 2011 23:48:05 UTC
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