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	<title>Search Computing Blog &#187; Mash-up</title>
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		<title>Choosel. Data visualization for multiattribute concepts</title>
		<link>http://blog.search-computing.net/2010/11/choosel-data-visualization-for-multiattribute-concepts/</link>
		<comments>http://blog.search-computing.net/2010/11/choosel-data-visualization-for-multiattribute-concepts/#comments</comments>
		<pubDate>Sun, 07 Nov 2010 22:54:32 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Mash-up]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=579</guid>
		<description><![CDATA[Choosel is a multi-atrtibute visualization framework.]]></description>
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		<title>Realizing a Semantic Web Application &#8211; ICWE 2010 Tutorial</title>
		<link>http://blog.search-computing.net/2010/07/rswa2010/</link>
		<comments>http://blog.search-computing.net/2010/07/rswa2010/#comments</comments>
		<pubDate>Sun, 04 Jul 2010 13:56:04 +0000</pubDate>
		<dc:creator>Emanuele Della Valle</dc:creator>
				<category><![CDATA[Mash-up]]></category>
		<category><![CDATA[Tutorial]]></category>
		<category><![CDATA[D2RQ]]></category>
		<category><![CDATA[EVDB]]></category>
		<category><![CDATA[MusicBrainz]]></category>
		<category><![CDATA[MusicMoz]]></category>
		<category><![CDATA[RDF]]></category>
		<category><![CDATA[Semantic Web]]></category>
		<category><![CDATA[SPARQL]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=512</guid>
		<description><![CDATA[Is developing mash-ups with Web 2.0 really much easier than using Semantic Web technologies? For instance, given a music style as an input, what it takes to retrieve data from online music archives (MusicBrainz, MusicBrainz D2R Server, MusicMoz) and event databases (EVDB)? What to merge them and to let the users explore the results? Are [...]]]></description>
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		<slash:comments>2</slash:comments>
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		<title>Synesketch &#8211; Textual emotion recognition and visualization engine</title>
		<link>http://blog.search-computing.net/2010/03/synesketch-textual-emotion-recognition-and-visualization-engine/</link>
		<comments>http://blog.search-computing.net/2010/03/synesketch-textual-emotion-recognition-and-visualization-engine/#comments</comments>
		<pubDate>Mon, 08 Mar 2010 08:30:41 +0000</pubDate>
		<dc:creator>Alessandro Bozzon</dc:creator>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Mash-up]]></category>
		<category><![CDATA[Text Analysis]]></category>
		<category><![CDATA[affective computing]]></category>
		<category><![CDATA[data visualization]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=128</guid>
		<description><![CDATA[Synesketch is a software library (Java API) for sensing and creative visualization of textual emotions.  According to the project&#8217;s WIKI, Synesketch is a result of a research that spreads out through several diverse fields – from natural language processing techniques based on WordNet, across Ekman&#8217;s research of emotions, to color psychology, visual design, data visualizations, and affective [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Google&#039;s Fusion Tables</title>
		<link>http://blog.search-computing.net/2009/07/googles-fusion-tables/</link>
		<comments>http://blog.search-computing.net/2009/07/googles-fusion-tables/#comments</comments>
		<pubDate>Fri, 03 Jul 2009 15:19:44 +0000</pubDate>
		<dc:creator>Emanuele Della Valle</dc:creator>
				<category><![CDATA[Mash-up]]></category>
		<category><![CDATA[Data Warehousing]]></category>
		<category><![CDATA[dataintegration]]></category>
		<category><![CDATA[Fusion Tables]]></category>
		<category><![CDATA[sharing data]]></category>

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		<description><![CDATA[The main goal of Fusion Tables is to make it easier for people to create, manage and share on structured data on the Web. Fusion Tables is a new kind of data management system that focuses on features that enable collaboration. [] In a nutshell, Fusion Tables enables you to upload tabular data (up to [...]]]></description>
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