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	<title>Comments on: Two Methods for Defining Information Quality</title>
	<link>http://www.architected.info/blog/two-methods-for-defining-information-quality</link>
	<description>How people, practices, and information are transformed into relationships and understanding.</description>
	<pubDate>Thu, 20 Nov 2008 13:55:32 +0000</pubDate>
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		<title>by: Architected Information &#187; Blog Archive &#187; The Value of Inaccuracy in Search</title>
		<link>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-65643</link>
		<pubDate>Mon, 21 Jul 2008 17:48:41 +0000</pubDate>
		<guid>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-65643</guid>
					<description>[...] One of the most highly valued features of information architecture is accuracy. Everyone wants everything to be perfect: every answer should be as factually accurate as possible and available immediately to whomever needs it. This was the promise of the internet as a whole, and of the web specifically (especially the &#8220;semantic web&#8220;, which I have ranted about before). [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] One of the most highly valued features of information architecture is accuracy. Everyone wants everything to be perfect: every answer should be as factually accurate as possible and available immediately to whomever needs it. This was the promise of the internet as a whole, and of the web specifically (especially the &#8220;semantic web&#8220;, which I have ranted about before). [&#8230;]
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		<title>by: Architected Information &#187; How to Build a System</title>
		<link>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-352</link>
		<pubDate>Fri, 25 Aug 2006 01:54:36 +0000</pubDate>
		<guid>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-352</guid>
					<description>[...] I have talked a lot about the differences between statistical and semantic information (especially around quality) in the recent past. I have also been interested in ways to bridge the gaps between these approaches, as they both have their own strengths and weaknesses. A project that is aiming to do something like this is the Semantic Media Wiki. They take an interesting approach to bridging the gap between human understanding and machine-processable truth by including it an easy to use repository, Media Wiki. [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] I have talked a lot about the differences between statistical and semantic information (especially around quality) in the recent past. I have also been interested in ways to bridge the gaps between these approaches, as they both have their own strengths and weaknesses. A project that is aiming to do something like this is the Semantic Media Wiki. They take an interesting approach to bridging the gap between human understanding and machine-processable truth by including it an easy to use repository, Media Wiki. [&#8230;]
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		<title>by: Architected Information &#187; Case Study &#8212; Statistical Information Quality</title>
		<link>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-211</link>
		<pubDate>Mon, 14 Aug 2006 13:51:41 +0000</pubDate>
		<guid>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-211</guid>
					<description>[...] Previously, we had discussed the semantic and statistical approaches to information quality and linked them to black box and white box testing. In addition, there is a case study on semantic information quality which is used to contrast this case study (you may want to take a look at these if you aren&#8217;t familiar with the subjects). [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] Previously, we had discussed the semantic and statistical approaches to information quality and linked them to black box and white box testing. In addition, there is a case study on semantic information quality which is used to contrast this case study (you may want to take a look at these if you aren&#8217;t familiar with the subjects). [&#8230;]
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		<title>by: Architected Information &#187; Getting Started With Information Quality (1 of 2)</title>
		<link>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-95</link>
		<pubDate>Fri, 04 Aug 2006 20:27:17 +0000</pubDate>
		<guid>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-95</guid>
					<description>[...] When an organization begins a concerted effort to improve its information quality, often it gets stuck in trying to figure out exactly where to start. Previously, we had discussed the semantic and statistical approaches to information quality and linked them to black box and white box testing (you may want to take a look at these if you aren&#8217;t familiar with the subjects, as these are the basis for this article). [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] When an organization begins a concerted effort to improve its information quality, often it gets stuck in trying to figure out exactly where to start. Previously, we had discussed the semantic and statistical approaches to information quality and linked them to black box and white box testing (you may want to take a look at these if you aren&#8217;t familiar with the subjects, as these are the basis for this article). [&#8230;]
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		<title>by: Architected Information &#187; Testing Information Quality</title>
		<link>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-93</link>
		<pubDate>Wed, 02 Aug 2006 04:21:59 +0000</pubDate>
		<guid>http://www.architected.info/blog/two-methods-for-defining-information-quality#comment-93</guid>
					<description>[...] Previously, we talked about the semantic and statistical approaches to information quality. Two distinctly different ways of trying to do the same thing. How can we reconcile these two different ideas and actually accomplish something in the real world? The best way I know is to try and fall back to some well established practices and try to adapt them to our needs. While we are working with data instead of applications, I think that these approaches correspond directly to principles from software engineering. For most applications, there are two types of testing: [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] Previously, we talked about the semantic and statistical approaches to information quality. Two distinctly different ways of trying to do the same thing. How can we reconcile these two different ideas and actually accomplish something in the real world? The best way I know is to try and fall back to some well established practices and try to adapt them to our needs. While we are working with data instead of applications, I think that these approaches correspond directly to principles from software engineering. For most applications, there are two types of testing: [&#8230;]
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