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	<title>Comments on: Google VP on semantic search and the Semantic Web</title>
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	<link>http://ebiquity.umbc.edu/blogger/2009/11/11/google-vp-on-semantic-search-and-the-semantic-web/</link>
	<description>EBB is the ebiquity research group\\\'s blog at the University of Maryland, Baltimore County (UMBC).  We focus on technologies that facilitate the design, implementation and control of distributed, intelligent information systems -- mobile and pervasive computing, ad hoc networking, multiagent systems, knowledge representation and reasoning, and the semantic web.  As the tides of technology ebb and flow, we hope the good ideas wash up on our beach and the bad ones drift back out to sea.</description>
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		<title>By: Jay Myers</title>
		<link>http://ebiquity.umbc.edu/blogger/2009/11/11/google-vp-on-semantic-search-and-the-semantic-web/comment-page-1/#comment-32047</link>
		<dc:creator>Jay Myers</dc:creator>
		<pubDate>Tue, 01 Dec 2009 16:09:43 +0000</pubDate>
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		<description>I&#039;m confused. Are microformats and RDFa considered &quot;manual&quot;? Some of these comments seem opposite of initiatives like Google Rich Snippets...</description>
		<content:encoded><![CDATA[<p>I&#8217;m confused. Are microformats and RDFa considered &#8220;manual&#8221;? Some of these comments seem opposite of initiatives like Google Rich Snippets&#8230;</p>
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		<title>By: Shyam Kapur</title>
		<link>http://ebiquity.umbc.edu/blogger/2009/11/11/google-vp-on-semantic-search-and-the-semantic-web/comment-page-1/#comment-31556</link>
		<dc:creator>Shyam Kapur</dc:creator>
		<pubDate>Sat, 14 Nov 2009 07:13:54 +0000</pubDate>
		<guid isPermaLink="false">http://ebiquity.umbc.edu/blogger/?p=2660#comment-31556</guid>
		<description>I love the article and the comments.  I am sure we would all agree that what is needed is smart technology that can make sense of the data.  I want to bring to your attention the first and only truly semantic search engine that currently works on Twitter data, TipTop.  It is now available in a beta version at http://FeelTipTop.com This engine understands each and every message on Twitter just like a human being would. As a result, it can discover from within the data the very best tweets organized nicely along a variety of categories and concepts learned dynamically.  In fact, the entire platform learns from data as data flows through the engine. You can also now see in real time the sentiment associated with anything in the world that people are talking about.  Please give it a try. Also, check out our special, dynamically changing promotion for Thanksgiving at http://ftt.nu/thanksgiving</description>
		<content:encoded><![CDATA[<p>I love the article and the comments.  I am sure we would all agree that what is needed is smart technology that can make sense of the data.  I want to bring to your attention the first and only truly semantic search engine that currently works on Twitter data, TipTop.  It is now available in a beta version at <a href="http://FeelTipTop.com" rel="nofollow">http://FeelTipTop.com</a> This engine understands each and every message on Twitter just like a human being would. As a result, it can discover from within the data the very best tweets organized nicely along a variety of categories and concepts learned dynamically.  In fact, the entire platform learns from data as data flows through the engine. You can also now see in real time the sentiment associated with anything in the world that people are talking about.  Please give it a try. Also, check out our special, dynamically changing promotion for Thanksgiving at <a href="http://ftt.nu/thanksgiving" rel="nofollow">http://ftt.nu/thanksgiving</a></p>
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		<title>By: Tim Finin</title>
		<link>http://ebiquity.umbc.edu/blogger/2009/11/11/google-vp-on-semantic-search-and-the-semantic-web/comment-page-1/#comment-31532</link>
		<dc:creator>Tim Finin</dc:creator>
		<pubDate>Thu, 12 Nov 2009 05:08:57 +0000</pubDate>
		<guid isPermaLink="false">http://ebiquity.umbc.edu/blogger/?p=2660#comment-31532</guid>
		<description>Manual markup is a red herring, imho.  But I agree that we need a data-driven component and that machine learning techniques offer the best approach to date.</description>
		<content:encoded><![CDATA[<p>Manual markup is a red herring, imho.  But I agree that we need a data-driven component and that machine learning techniques offer the best approach to date.</p>
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		<title>By: Ben Toth</title>
		<link>http://ebiquity.umbc.edu/blogger/2009/11/11/google-vp-on-semantic-search-and-the-semantic-web/comment-page-1/#comment-31530</link>
		<dc:creator>Ben Toth</dc:creator>
		<pubDate>Wed, 11 Nov 2009 23:18:04 +0000</pubDate>
		<guid isPermaLink="false">http://ebiquity.umbc.edu/blogger/?p=2660#comment-31530</guid>
		<description>Well spotted. Mayer is making a couple of points, which are related. First language changes (moving faster than RDF can cope with, linguistic change is real-time) and second manual mark-up doesn&#039;t scale. It seems important to have some sort of response to these points.</description>
		<content:encoded><![CDATA[<p>Well spotted. Mayer is making a couple of points, which are related. First language changes (moving faster than RDF can cope with, linguistic change is real-time) and second manual mark-up doesn&#8217;t scale. It seems important to have some sort of response to these points.</p>
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