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> <channel><title>gHacks Technology News &#124; Latest Tech News, Software And Tutorials &#187; semantic search</title> <atom:link href="http://www.ghacks.net/tag/semantic-search/feed/" rel="self" type="application/rss+xml" /><link>http://www.ghacks.net</link> <description>A technology news blog covering software, mobile phones, gadgets, security, the Internet and other relevant areas.</description> <lastBuildDate>Sat, 11 Feb 2012 08:24:54 +0000</lastBuildDate> <language>en</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.3.1</generator> <atom:link rel="hub" href="http://pubsubhubbub.appspot.com"/><atom:link rel="hub" href="http://superfeedr.com/hubbub"/> <item><title>Pixolu Semantic Image Search</title><link>http://www.ghacks.net/2008/10/23/pixolu-semantic-image-search/</link> <comments>http://www.ghacks.net/2008/10/23/pixolu-semantic-image-search/#comments</comments> <pubDate>Thu, 23 Oct 2008 16:37:17 +0000</pubDate> <dc:creator>Martin Brinkmann</dc:creator> <category><![CDATA[Online Services]]></category> <category><![CDATA[The Web]]></category> <category><![CDATA[flickr]]></category> <category><![CDATA[google images]]></category> <category><![CDATA[image search]]></category> <category><![CDATA[images]]></category> <category><![CDATA[photos]]></category> <category><![CDATA[pictures]]></category> <category><![CDATA[pixolu]]></category> <category><![CDATA[semantic image search]]></category> <category><![CDATA[semantic search]]></category> <category><![CDATA[yahoo images]]></category> <guid
isPermaLink="false">http://www.ghacks.net/?p=7819</guid> <description><![CDATA[Pixolu is an academic reasearch project on semantic image search. It does increase the quality of the search results by asking the user to refine the first batch of results and using the selected pictures to discover images that are closely related to them. The process is made up of three steps. The user enters [...]]]></description> <content:encoded><![CDATA[<p><a
href="http://www.pixolu.de/">Pixolu</a> is an academic reasearch project on semantic image search. It does increase the quality of the search results by asking the user to refine the first batch of results and using the selected pictures to discover images that are closely related to them. The process is made up of three steps. The user enters a search term in the first step which loads a batch of 150 images from the three sources Google, Yahoo and Flickr. It is possible to deselect a search engine before starting the search.</p><p>The 150 images will be displayed in a zoomable and movable area. The mouse wheel can be used to zoom in and out of the area to inspect images closely. Pressing the left mouse button in the area makes it possible to move around which is handy if some images are not displayed because of the zoom level.</p><p>It is also possible to use the zoom slider on the right sidebar to zoom in and out of the main area. The second step is the refining phase. The user drags and drops images that fit best to the right sidebar. A double-click is the alternative method of selecting those images. To give an example. A user searching for the game Diablo might enter Diablo in the search form. The resulting pictures will show images of Diablo 1, Diablo 2 and Diablo 3. It is then possible to only select Diablo 3 images from the first batch to tell the search that these are the images to find and display from then on.</p><p><span
id="more-7819"></span><img
src="http://www.ghacks.net/wp-content/uploads/2008/10/pixoku-500x246.jpg" alt="pixoku" title="pixoku" width="500" height="246" class="alignnone size-medium wp-image-7820" /></p><p>Pixolu will then search for and display images that are closely related to the selected images of step 2. The url, resolution and source of selected images will be shown. The only way to view images in full resolution is to load them by clicking on the source url in the sidebar.</p> ]]></content:encoded> <wfw:commentRss>http://www.ghacks.net/2008/10/23/pixolu-semantic-image-search/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Search</title><link>http://www.ghacks.net/2008/06/29/search/</link> <comments>http://www.ghacks.net/2008/06/29/search/#comments</comments> <pubDate>Sun, 29 Jun 2008 05:12:11 +0000</pubDate> <dc:creator>joshua</dc:creator> <category><![CDATA[Google]]></category> <category><![CDATA[Search Engines]]></category> <category><![CDATA[engine]]></category> <category><![CDATA[live search]]></category> <category><![CDATA[microsoft]]></category> <category><![CDATA[search]]></category> <category><![CDATA[semantic search]]></category> <guid
isPermaLink="false">http://www.ghacks.net/?p=5138</guid> <description><![CDATA[Microsoft just made a 100 million acquisition of semantic search engine Powerset in its bit to improve existing Internet Searching Technologies for its Live Search. I use Live Search regularly and would say the results are now very comparable to Google and in the case of Image Search much better organised. Better search is always [...]]]></description> <content:encoded><![CDATA[<p>Microsoft just made a <a
href="http://venturebeat.com/2008/06/26/microsoft-to-buy-semantic-search-engine-powerset-for-100m-plus/">100 million acquisition</a> of <a
href="http://www.bing.com/">semantic search engine Power</a>set in its bit to improve existing Internet Searching Technologies for its Live Search. I use Live Search regularly and would say the results are now very comparable to Google and in the case of Image Search much better organised.</p><p>Better search is always good, but as a lot of people have been expressing, searching in natural language (“what is the capital of France?”) is not too useful for anyone who has used the Internet up to now. What I <em>would </em>like to see in a search engine is one that can differentiate “free” products from “free download!” or “free 30 day trial!”</p><p><span
id="more-5138"></span></p><p>Anyway for such a dominated market with Google going on over 60% market share (and even more mind share) a lot of competitors pop up quite frequently. For many niche markets and specific type searches these can be much better, so here are a couple of the better ones:</p><p> <strong>FilesTube</strong><p>A search engine for file sharing. <a
href="http://www.filestube.com/">FilesTube</a> indexes downloadable files across the Internet. Works quite well, especially with the filtering of files to ‘mp3’, ‘mpeg’ etc.</p><p> <strong>PDF Search Engine</strong><p>A search engine for PDFs, E-Books and other electronic documents. Has simple but effective searching.</p><p> <strong>Twingly</strong><p>Mentioned <a
href="http://www.ghacks.net/2008/06/14/twingly-blog-search/">it here</a> a few days ago. A <a
href="http://www.twingly.com/">new blog search</a> engine, I’m interested to see who it manages to compete against the larger but ailing <a
href="http://technorati.com">Technorati</a> which recently got a new round of funding.</p><p> <strong>Icon Look</strong><p>I’ve seen a few Icon search engines but Icon Look is the best one I’ve used both results wise and its interface. You’ll find both small and high resolution icons, a useful resource for anyone doing design work.</p><p> <strong>Retrevo</strong><p><a
href="http://shop.retrevo.com">This service</a> is designed to match a product with a manual. Actually a very good search engine for doing product research before purchasing.</p><p> <strong>Look Torrent</strong><p>I used <a
href="http://scrapetorrent.com">Scrape Torrent</a> for quite some time, but I recently found <a
href="http://www.looktorrent.com/">Look Torrent</a> which is an awesome search engine for finding torrent files. Its best feature is the option to select your favourite torrent sites for it to search.</p> ]]></content:encoded> <wfw:commentRss>http://www.ghacks.net/2008/06/29/search/feed/</wfw:commentRss> <slash:comments>5</slash:comments> </item> </channel> </rss>
