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	<title>Search Computing Blog &#187; marco.brambilla</title>
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		<title>SeCo at WWW 2012 conference in Lyon</title>
		<link>http://blog.search-computing.net/2012/04/seco-at-www-2012-conference-in-lyon/</link>
		<comments>http://blog.search-computing.net/2012/04/seco-at-www-2012-conference-in-lyon/#comments</comments>
		<pubDate>Sun, 29 Apr 2012 13:46:18 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Search Engine]]></category>
		<category><![CDATA[Social Search]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Web Search Engine]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=791</guid>
		<description><![CDATA[Search Computing has been widely disseminated during the WWW 2012 Conference in Lyon. SeCo was one of the organizers of the CrowdSearch workshop at WWW 2012. The workshop proceedings are published by CEUR-WS here. There, we have presented a paper on a model-driven approach to crowd sourcing search results: Alessandro Bozzon, Marco Brambilla, Andrea Mauri: [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Sofia Ceppi wins the Yahoo!’s 2012 Key Scientific Challenges (KSC) Program</title>
		<link>http://blog.search-computing.net/2012/04/sofia-ceppi-wins-the-yahoo%e2%80%99s-2012-key-scientific-challenges-ksc-program/</link>
		<comments>http://blog.search-computing.net/2012/04/sofia-ceppi-wins-the-yahoo%e2%80%99s-2012-key-scientific-challenges-ksc-program/#comments</comments>
		<pubDate>Mon, 23 Apr 2012 12:00:28 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Meta Search Engine]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Web Search Engine]]></category>
		<category><![CDATA[award]]></category>
		<category><![CDATA[monetization]]></category>
		<category><![CDATA[revenue]]></category>
		<category><![CDATA[Yahoo!]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=780</guid>
		<description><![CDATA[From an outstanding group of over 200 proposals, thirty exceptional PhD students have been selected to be part of Yahoo!’s 2012 Key Scientific Challenges (KSC) Program. Sofia Ceppi, a Ph.D. student of Nicola Gatti, has been chosen to receive this very competitive award this year, on a proposal within the Search Computing topics. The proposal [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Very Large Data Search workshop at VLDB 2011</title>
		<link>http://blog.search-computing.net/2011/08/very-large-data-search-workshop-at-vldb-2011/</link>
		<comments>http://blog.search-computing.net/2011/08/very-large-data-search-workshop-at-vldb-2011/#comments</comments>
		<pubDate>Wed, 17 Aug 2011 16:16:10 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Literature]]></category>
		<category><![CDATA[search]]></category>
		<category><![CDATA[VLDB]]></category>
		<category><![CDATA[VLDS]]></category>
		<category><![CDATA[workshop]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=754</guid>
		<description><![CDATA[SeCo is organizing the First International Workshop on Searching and Integrating New Web Data Sources (VLDS 2011), that will take place on September 2nd, as a satellite event of VLDB 2011 in Seattle, WA, USA. The goal of th workshop is to gather researchers and practitioners in the diverse fields related to data integration and [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Linked data exploration evaluation with respect to the Information Seeking Process</title>
		<link>http://blog.search-computing.net/2010/12/linked-data-exploration-evaluation-with-respect-to-the-information-seeking-process/</link>
		<comments>http://blog.search-computing.net/2010/12/linked-data-exploration-evaluation-with-respect-to-the-information-seeking-process/#comments</comments>
		<pubDate>Tue, 21 Dec 2010 16:44:54 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Literature]]></category>
		<category><![CDATA[exploratory search]]></category>
		<category><![CDATA[information exploration]]></category>
		<category><![CDATA[ISP]]></category>
		<category><![CDATA[Linked Data]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=663</guid>
		<description><![CDATA[In the model proposed by Kuhlthau in 1991, the following phases are envisioned in the Information Seeking Process: Initialization marks introduction of a problem, including the problem definition and, based on this, the provision of suggested solutions based on previously operated processes. During the second phase, Selection, users identify the general area for investigation though [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Yebol &#8211; semantic and categorized metasearch</title>
		<link>http://blog.search-computing.net/2010/12/yebol-semantic-and-categorized-metasearch/</link>
		<comments>http://blog.search-computing.net/2010/12/yebol-semantic-and-categorized-metasearch/#comments</comments>
		<pubDate>Fri, 17 Dec 2010 11:15:08 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Meta Search Engine]]></category>
		<category><![CDATA[Search Engine]]></category>
		<category><![CDATA[Web Search Engine]]></category>
		<category><![CDATA[categories]]></category>
		<category><![CDATA[Semantic Web]]></category>
		<category><![CDATA[yebol]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=631</guid>
		<description><![CDATA[Yebol is a meteaseach engine that utilizes a combination of algorithms paired with human knowledge to build a Web directory for each query and each user. Instead of the common “listing” of Web search queries, Yebol automatically clusters and categorizes search terms, Web sites, pages and contents. Yebol claims to allow for multi-dimensional search results, [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>200 Countries, 200 Years, 4 Minutes</title>
		<link>http://blog.search-computing.net/2010/12/200-countries-200-years-4-minutes/</link>
		<comments>http://blog.search-computing.net/2010/12/200-countries-200-years-4-minutes/#comments</comments>
		<pubDate>Thu, 16 Dec 2010 08:00:37 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[data animation]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[Information Visualization]]></category>
		<category><![CDATA[story telling]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=617</guid>
		<description><![CDATA[An amazing information visualization video from Hans Rosling. This video is enabled by Trendalyzer, an information visualization software for animation of statistics that was initially developed by Hans Rosling&#8217;s Gapminder Foundation and then was acquired by Google Inc in 2007. Some components, such as the Flash-based Motion Chart gadget, have become available for public use [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Examples of domain specific web visualization and visual search</title>
		<link>http://blog.search-computing.net/2010/11/examples-of-domain-specific-web-visualization-and-visual-search/</link>
		<comments>http://blog.search-computing.net/2010/11/examples-of-domain-specific-web-visualization-and-visual-search/#comments</comments>
		<pubDate>Mon, 08 Nov 2010 07:35:57 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[visual search]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/2010/11/examples-of-domain-specific-web-visualization-and-visual-search/</guid>
		<description><![CDATA[A few examples of data visualization solutions for complex / multidomain web data: http://www.geovista.psu.edu/grants/cdcesda/software/ http://www.thegardnerteam.net/ (new visual search technology on real estate domain) Another interesting application is this realtime visualizer of the London underground status:]]></description>
		<wfw:commentRss>http://blog.search-computing.net/2010/11/examples-of-domain-specific-web-visualization-and-visual-search/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Page layout management for search engine results</title>
		<link>http://blog.search-computing.net/2010/11/page-layout-management-for-search-engine-results/</link>
		<comments>http://blog.search-computing.net/2010/11/page-layout-management-for-search-engine-results/#comments</comments>
		<pubDate>Sun, 07 Nov 2010 23:35:56 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Search Engine]]></category>
		<category><![CDATA[Structured Data Publishing]]></category>
		<category><![CDATA[Web Search Engine]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=582</guid>
		<description><![CDATA[Search engines are exploiting more and more named entity identification in the query analysis phase. Besides increasing the precision of the results, this enables the generation of result pages more suitable to the typical needs of users with respect to the identified entities. The attached document considers queries returning mono-domain results, where the domain represents [...]]]></description>
		<wfw:commentRss>http://blog.search-computing.net/2010/11/page-layout-management-for-search-engine-results/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<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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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Overview on data visualization</title>
		<link>http://blog.search-computing.net/2010/11/overview-on-data-visualization/</link>
		<comments>http://blog.search-computing.net/2010/11/overview-on-data-visualization/#comments</comments>
		<pubDate>Sun, 07 Nov 2010 22:48:05 +0000</pubDate>
		<dc:creator>marco.brambilla</dc:creator>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Structured Data Publishing]]></category>
		<category><![CDATA[data visualization]]></category>

		<guid isPermaLink="false">http://blog.search-computing.net/?p=574</guid>
		<description><![CDATA[A nice overview on data visualization is available in this very interesting work by Geoff McGhee from Stanford University, comprising interviews, summaries, insights and visions: Journalism in the Age of Data: A Video Report on Data Visualization. http://datajournalism.stanford.edu/]]></description>
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