Information Workbench Now Available As Virtual Appliance On Amazon EC2
Information Workbench™ is now freely available in the form of an EC2 virtual appliance.
Online, December 1, 2010 (Newswire.com) - fluid Operations is glad to announce that the Information Workbench™ is now freely available in the form of an EC2 virtual appliance. The Information Workbench™ is a platform for Linked Data application development, pursuing the goal to lower the entry barrier into the world of Linked Data and to leverage its benefits. By providing a semantic metadata management layer, it can integrate heterogeneous data sources and correlate and manage the data residing within.
Having the Information Workbench™ available as EC2 virtual appliance considerably lowers the effort in building Linked Data applications: the EC2 image can be instantiated within minutes, thus avoiding investments in IT infrastructure and saving time in setting up own servers. All you need to do is to instantiate the EC2 image of the Information Workbench™ virtual appliance. The resulting instance is a complete, ready-to-use Information Workbench™ installation that is fully customizable and globally accessible in the Web. New AWS users can also benefit from Amazon's free usage tier for micro instances and run their own Information Workbench™ for free for one year!
Having installed the image, users can load their own data into the Information Workbench™, correlate it with publicly available Linked Open Data, and customize the system layout and behavior - an easy way to build Linked Data applications! Once the data is available, the Information Workbench allows for visual exploration of content elements based on rich metadata, collaborative knowledge acquisition and augmentation through semantic annotation, advanced search, analytics and reporting, as well as self-service development based on W3C standards. More information on the platform is available on the Information Workbench™ project page.
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Tags: Cloud Computing, fluidOps, Information Workbench, IWB, open source, semantic technologies, semantic web