Search Results for "flat file search engine"

TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer...

Enterprise collaboration platform with over 400 extensions. Users without programming skills can create web applications. 50,000 small businesses, many Fortune 500 companies, and millions of people use TWiki, with installations of 100,000s of pages. Visit http://twiki.org/ for the open source TWiki. The TWiki community is focusing on building the best collaboration platform for the workplace. We invite you to GET INVOLVED! More at http://bit.ly/twGetInv.

A MMORPG Game Engine Writted in Monogame GL full C# Very easy to make a game. With simple Level Editor. Whit cross-plattform Server on .NET Core Tecnology Build your Cross-Platform Game whitout programming! Aviable for Xbox one, PS4, Android, iOS and more platform. Try Live Demo: http://www.makingitalia.net/MireWEB/ Project are migrated on Mire Engine. See Updated at: http://www.makingitalia.net/mire/

Index biological data (genbank sheets, Uniprot...) in a Solr indexer, with index shard support and provides a query interface. Project goal is to create a virtual image with indexer and web interface to query and visualize biological data.

Cyn.in helps teams to build collaborative knowledge by sharing & discussing digital content within secure & unified application. It combines the capabilities of wikis, social network, blogs, files, microblogs, discussions into secure enterprise platform.

Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.