<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Notes on ReleMed</title>
	<atom:link href="http://davidrothman.net/2007/03/20/notes-on-relemed/feed/" rel="self" type="application/rss+xml" />
	<link>http://davidrothman.net/2007/03/20/notes-on-relemed/</link>
	<description>Exploring Medical Librarianship and Web Geekery</description>
	<lastBuildDate>Tue, 09 Mar 2010 17:40:24 -0700</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.6</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: davidrothman.net &#187; Blog Archive &#187; Disagreeing with a PubMed Instructor about MeSH</title>
		<link>http://davidrothman.net/2007/03/20/notes-on-relemed/comment-page-1/#comment-58998</link>
		<dc:creator>davidrothman.net &#187; Blog Archive &#187; Disagreeing with a PubMed Instructor about MeSH</dc:creator>
		<pubDate>Thu, 31 May 2007 17:15:46 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/2007/03/20/notes-on-relemed/#comment-58998</guid>
		<description>[...] (Previously suggested here). [...]</description>
		<content:encoded><![CDATA[<p>[...] (Previously suggested here). [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: David Rothman</title>
		<link>http://davidrothman.net/2007/03/20/notes-on-relemed/comment-page-1/#comment-50870</link>
		<dc:creator>David Rothman</dc:creator>
		<pubDate>Tue, 24 Apr 2007 22:26:49 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/2007/03/20/notes-on-relemed/#comment-50870</guid>
		<description>Hi Vicki-

Think of it this way:  Even if the NLM allowed it, why would one want a bot to crawl and re-index such a massive chunk of already nicely structured data?  It would be reinventing the wheel.

Instead, third-party PubMed tools like these make use of the NCBI Entrez &lt;a href=&quot;http://en.wikipedia.org/wiki/API&quot; rel=&quot;nofollow&quot;&gt;API&lt;/a&gt;.

It appears to me that the folks behind ReleMed are not working hand-in-hand with the NLM, but rather that the NLM allows ReleMed to use the NLM&#039;s data.

Does that help?

More here: &lt;a href=&quot;http://www.ncbi.nlm.nih.gov/entrez/query/static/eutils_help.html&quot; rel=&quot;nofollow&quot;&gt;http://www.ncbi.nlm.nih.gov/entrez/query/static/eutils_help.html&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>Hi Vicki-</p>
<p>Think of it this way:  Even if the NLM allowed it, why would one want a bot to crawl and re-index such a massive chunk of already nicely structured data?  It would be reinventing the wheel.</p>
<p>Instead, third-party PubMed tools like these make use of the NCBI Entrez <a href="http://en.wikipedia.org/wiki/API" rel="nofollow">API</a>.</p>
<p>It appears to me that the folks behind ReleMed are not working hand-in-hand with the NLM, but rather that the NLM allows ReleMed to use the NLM&#8217;s data.</p>
<p>Does that help?</p>
<p>More here: <a href="http://www.ncbi.nlm.nih.gov/entrez/query/static/eutils_help.html" rel="nofollow">http://www.ncbi.nlm.nih.gov/entrez/query/static/eutils_help.html</a></p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Vicki</title>
		<link>http://davidrothman.net/2007/03/20/notes-on-relemed/comment-page-1/#comment-50844</link>
		<dc:creator>Vicki</dc:creator>
		<pubDate>Tue, 24 Apr 2007 20:14:12 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/2007/03/20/notes-on-relemed/#comment-50844</guid>
		<description>Medical Design Online has an article snippet, &quot;U.Va. Researchers Create Google-Like Search Engine for Medical Literature&quot; and the snippet refers to an article from the American Medical Informatics Association.  

I&#039;m curious as to how ReleMed works since PubMed prohibits search engine robots. Is ReleMed working hand in hand with PubMed?


	
        
        
        
        

Can you shed some light on how this works when each source page contains &quot;index,nofollow,noarchive on them?</description>
		<content:encoded><![CDATA[<p>Medical Design Online has an article snippet, &#8220;U.Va. Researchers Create Google-Like Search Engine for Medical Literature&#8221; and the snippet refers to an article from the American Medical Informatics Association.  </p>
<p>I&#8217;m curious as to how ReleMed works since PubMed prohibits search engine robots. Is ReleMed working hand in hand with PubMed?</p>
<p>Can you shed some light on how this works when each source page contains &#8220;index,nofollow,noarchive on them?</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: David Rothman</title>
		<link>http://davidrothman.net/2007/03/20/notes-on-relemed/comment-page-1/#comment-40940</link>
		<dc:creator>David Rothman</dc:creator>
		<pubDate>Thu, 22 Mar 2007 12:45:03 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/2007/03/20/notes-on-relemed/#comment-40940</guid>
		<description>Thanks, alf!</description>
		<content:encoded><![CDATA[<p>Thanks, alf!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: alf</title>
		<link>http://davidrothman.net/2007/03/20/notes-on-relemed/comment-page-1/#comment-40933</link>
		<dc:creator>alf</dc:creator>
		<pubDate>Thu, 22 Mar 2007 12:35:30 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/2007/03/20/notes-on-relemed/#comment-40933</guid>
		<description>You&#039;re right that HubMed doesn&#039;t check for co-occurrence at the sentence level. You can, however, use the Lucene query syntax to search for words that are within a certain distance of each other, eg &quot;spleen migration&quot;~10 searches for those terms within 10 words of each other.</description>
		<content:encoded><![CDATA[<p>You&#8217;re right that HubMed doesn&#8217;t check for co-occurrence at the sentence level. You can, however, use the Lucene query syntax to search for words that are within a certain distance of each other, eg &#8220;spleen migration&#8221;~10 searches for those terms within 10 words of each other.</p>
]]></content:encoded>
	</item>
</channel>
</rss>
