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Semantic Windows
Semantic Windows
Semantic Windows
Semantic Windows
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Semantic Windows

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  • 1. SemanticWindows 1.What is SemanticWindows? SemanticWindows aspires to be a social semantic desktop application , designed to provide its users tools to share, find and link common activities among themselves and on the Web. Nowadays users cand find lots of tools to help them find information about information they find on the Web. Our application desires to offer users the possibility of finding information about local files and resources located on their very own desktop. SemanticWindows brings to your destkop all the info you would otherwise need to search on the Web. Another big part of our application feeds the human desire of sharing thoughts, ideas and actions. Users are now able to share what they are doing, whatching, reading or listening to. Using two well known social networks apis, users will share their actions much faster, being able to do so in just two clicks.
  • 2. ` 2. Why SemanticWindows? In the past few years the Web has began to offer more and more tools to users that want to socialize, share and search for things they are interested in. While most of these tools are browser based, we felt the need to develop a tool that brings web content to your desktop.
  • 3. 3. Application prototype As it name suggests, our application runs under Windows operating system. The tools it provides will be embedded in the context menu (that Windows Explorer provides) of each file (see fig 3.1). Thus the user will have acces to the tools the application provides by intantly accesing the context menu any time the user wishes to do so. We designed SemanticWindows as being composed of two main components: - Get Suggestions - ActionSharing The first one gives the user the posibility of getting information related to his local files, while the second enables him to share his actions related to the said files. 3.1. GetSuggestions We designed this feature as a “bridge” between the user’s desktop and the Web. Using GetSuggestions the user sends a request to the application to find relevant information of a certain file. After the request has been made the user will receive the suggestions our application finds. The suggestions will depend on number of factors like type, name, and file type. For each file the user will receive four suggestions in the form of a popup on his right side of the desktop. After this the user can follow one of this suggestions by clicking on it. This will bring up a new browser tab with that suggestion.
  • 4. ` Depending on the file type we will bring up suggestions releveant to its nature. We will use the following search engines to bring up suggestions : 1. Photos : -Flickr -Google Images -Yahoo Image -Panoramio -Google Picasa -Smugmug 2. Video data: -Youtube -Google Video -Vodpod -Livevideo -MetaCafe 3. Audio data: -Napster -AudioFarm -4shared 4. Documents : -Slideshare -Scribd -Google Docs -AuthorSTREAM -Filesanywhere 3.2

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