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	<title>Comments on: Must Read: &#8216;Data Smoke and Mirrors&#8217;</title>
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	<link>http://www.mkbergman.com/843/must-read-data-smoke-and-mirrors/</link>
	<description>Mike Bergman on the semantic Web and structured Web</description>
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		<title>By: When Linked Data Rules Fail at Frederick Giasson&#8217;s Weblog</title>
		<link>http://www.mkbergman.com/843/must-read-data-smoke-and-mirrors/comment-page-1/#comment-52715</link>
		<dc:creator>When Linked Data Rules Fail at Frederick Giasson&#8217;s Weblog</dc:creator>
		<pubDate>Mon, 16 Nov 2009 17:03:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.mkbergman.com/?p=843#comment-52715</guid>
		<description>[...] have weighed in on what is good and what is not so good with these datasets. One of us, Mike, commented about a week ago that &#8220;we have now moved beyond &#8216;proof of concept&#8217; to the need [...]</description>
		<content:encoded><![CDATA[<p>[...] have weighed in on what is good and what is not so good with these datasets. One of us, Mike, commented about a week ago that &#8220;we have now moved beyond &#8216;proof of concept&#8217; to the need [...]</p>
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		<title>By: Evan Sandhaus</title>
		<link>http://www.mkbergman.com/843/must-read-data-smoke-and-mirrors/comment-page-1/#comment-52686</link>
		<dc:creator>Evan Sandhaus</dc:creator>
		<pubDate>Wed, 11 Nov 2009 15:10:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.mkbergman.com/?p=843#comment-52686</guid>
		<description>Michael,

I agree with you that our initial foray into Linked Open Data was less than perfect, but I am hopeful that you will find that &lt;a href=&quot;http://groups.google.com/group/nyt_linked_open_data/browse_thread/thread/4b9d1c085e7646ff&quot; rel=&quot;nofollow&quot;&gt;our recently released revisions&lt;/a&gt; address &lt;a href=&quot;http://groups.google.com/group/nyt_linked_open_data/browse_thread/thread/141076cb6cccd6b6&quot; rel=&quot;nofollow&quot;&gt;many of the community&#039;s concerns&lt;/a&gt;.  We&#039;ve only been at this for 13 days now, but I assure you we are &lt;a href=&quot;http://groups.google.com/group/nyt_linked_open_data/&quot; rel=&quot;nofollow&quot;&gt;listening, learning and quickly iterating&lt;/a&gt;.  

Recent talk &quot;Pipe Dreams&quot; and &quot;Smoke and Mirrors&quot; aside, I anticipate a bright future for Linked Open Data.

All the best,

Evan Sandhaus

--
Evan Sandhaus
Semantic Technologist
New York Times Research + Development
@kansandhaus</description>
		<content:encoded><![CDATA[<p>Michael,</p>
<p>I agree with you that our initial foray into Linked Open Data was less than perfect, but I am hopeful that you will find that <a href="http://groups.google.com/group/nyt_linked_open_data/browse_thread/thread/4b9d1c085e7646ff" rel="nofollow">our recently released revisions</a> address <a href="http://groups.google.com/group/nyt_linked_open_data/browse_thread/thread/141076cb6cccd6b6" rel="nofollow">many of the community&#8217;s concerns</a>.  We&#8217;ve only been at this for 13 days now, but I assure you we are <a href="http://groups.google.com/group/nyt_linked_open_data/" rel="nofollow">listening, learning and quickly iterating</a>.  </p>
<p>Recent talk &#8220;Pipe Dreams&#8221; and &#8220;Smoke and Mirrors&#8221; aside, I anticipate a bright future for Linked Open Data.</p>
<p>All the best,</p>
<p>Evan Sandhaus</p>
<p>&#8211;<br />
Evan Sandhaus<br />
Semantic Technologist<br />
New York Times Research + Development<br />
@kansandhaus</p>
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		<title>By: Greg Reser</title>
		<link>http://www.mkbergman.com/843/must-read-data-smoke-and-mirrors/comment-page-1/#comment-52681</link>
		<dc:creator>Greg Reser</dc:creator>
		<pubDate>Tue, 10 Nov 2009 04:41:08 +0000</pubDate>
		<guid isPermaLink="false">http://www.mkbergman.com/?p=843#comment-52681</guid>
		<description>I think Stefano is trying too hard to discredit N-triples and not hard enough to use the skills he has learned as an internet user.

He says, &quot;I’m a human and I can’t figure out what this is from or for, what it means in practice nor have a way to figure out what M01 stands for, or what series_id SMU55225408000000001 means&quot;  

I am an average user and I was able to make sense of the URI very easily.  I did a simple Google search for the series ID &quot;SMU55225408000000001&quot; and I got a page from the Bureau of Labor Statistics for State and Area Employment, Hours, and Earnings.  http://data.bls.gov/PDQ/servlet/SurveyOutputServlet?series_id=SMU55225408000000001&amp;data_tool=XGtable

This was very easy.  Did I do something wrong?</description>
		<content:encoded><![CDATA[<p>I think Stefano is trying too hard to discredit N-triples and not hard enough to use the skills he has learned as an internet user.</p>
<p>He says, &#8220;I’m a human and I can’t figure out what this is from or for, what it means in practice nor have a way to figure out what M01 stands for, or what series_id SMU55225408000000001 means&#8221;  </p>
<p>I am an average user and I was able to make sense of the URI very easily.  I did a simple Google search for the series ID &#8220;SMU55225408000000001&#8243; and I got a page from the Bureau of Labor Statistics for State and Area Employment, Hours, and Earnings.  <a href="http://data.bls.gov/PDQ/servlet/SurveyOutputServlet?series_id=SMU55225408000000001&amp;data_tool=XGtable" rel="nofollow">http://data.bls.gov/PDQ/servlet/SurveyOutputServlet?series_id=SMU55225408000000001&amp;data_tool=XGtable</a></p>
<p>This was very easy.  Did I do something wrong?</p>
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		<title>By: bluereek</title>
		<link>http://www.mkbergman.com/843/must-read-data-smoke-and-mirrors/comment-page-1/#comment-52678</link>
		<dc:creator>bluereek</dc:creator>
		<pubDate>Mon, 09 Nov 2009 08:04:02 +0000</pubDate>
		<guid isPermaLink="false">http://www.mkbergman.com/?p=843#comment-52678</guid>
		<description>&lt;strong&gt;Challenges in linked data...&lt;/strong&gt;

Teething problems with some linked open data initiatives
Share on Facebook......</description>
		<content:encoded><![CDATA[<p><strong>Challenges in linked data&#8230;</strong></p>
<p>Teething problems with some linked open data initiatives<br />
Share on Facebook&#8230;&#8230;</p>
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