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This aim of this project is to provide an efficient LTAG Parser (Lexicalized Tree Adjoining Grammar) and some linguistic resources to the NALP community and other interested people. Please feel free to submit bug reports, feature requests, or any other co
The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
UMDS is small, strong and expansible project. The model offers a uniform method of conceptual view of the diverse data as a sequence of bits and a uniform method of keeping and processing
this sequence on the external storage.
Ensure the availability of your data with coverage across AWS, Azure, and GCP on MongoDB Atlas—the multi-cloud database for every enterprise.
MongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.
A project intended to extract a structure from the unstructured www.
Making the web documents "understandable" by computers.
Fields: NLP,Computational Linguistics,Information Theory,Information Retrieval,Clustering,Data Mining,Semantic web
A project originally for an undergraduate Freshman seminar on motion planning algorithms. Provides a basic interface for drawing obstacles in a 2-D plane and the ability to select an algorithm by which to plan a path in this user-defined world.
** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
Development processes simulation. Identifies problematic and overloaded points analyzing data flow between the involved processes in a development project.