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


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 



Kingsley Idehen	
President&  CEO
OpenLink Software
Web: http://www.openlinksw.com
Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca: kidehen

Received on Thursday, 7 April 2011 18:04:16 UTC