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An attempt at offering machine learning and data mining algorithms at the finest grain we are able to, easy to combine together through Python scripting to glue together the Lego-like bricks.
Nalasys is a natural language system that allows users to specify instructions to the computer in natural language. By defining words with intrinsic data the system recognizes, a user will be able to program a system using his own words.
For now the system can use several programmatic languages like SQL, Javascript, Groovy or JSP expression language. It also has a default language with no keywords where you can add words defined with objects in memory or from other languages.
SAIM allows to interlink knowledge bases in the Semantic Web. It focuses on instance matching of very large knowledge bases available as SPARQL endpoints. SAIM uses machine learning techniques and is compatible with SILK.
Toolkit for civilian activists to cross-check lists of Knesset members (Israeli Parliament) present in the Knesset building and databases of their stands, helping on-site lobbyists work out who to talk to during session days.
MACOW is a formal and scalable mandatory access implementation suitable on open worlds such as the provided on Semantic Web, Autonomic Computing and Coaltions and Federations scenarios. It is able to access control on distributed systems.
Lintory is a Django based python application that aims to help keep track of software licenses, license requirements, hardware, MAC addresses, users and locations while supporting multiple OS, dual boot systems, and virtual machines.