OMCSNetCPP is a C++ API and inference toolkit for accessing OMCSNet, a semantic network mined out of the Open Mind Common Sense knowledge base. The goal of this project is to provide a class library that allows programmers to easily add common sense reasoning capabilities to C++ applications.
The Orbital library is a Java class library providing object-oriented representations and algorithms for logic, mathematics, and computer science. It comprises theorem proving, computer algebra, search and planning, as well as machine learning algorithms. Generally speaking, the conceptual idea behind the Orbital library is to provide extensional services and components that surround the heart of many scientific applications, hence the name "Orbital library". In order to satisfy the requirements of high reusability, the design of this foundation class library favors flexibility, conceptual simplicity, and generalization. Many sophisticated problems can be solved easily with its adaptable components.
OpenEphyra is a question answering (QA) system. It retrieves answers to natural language questions from the Web and other sources. OpenEphyra comes with implementations of algorithms that proved effective in Carnegie Mellon's Ephyra system, which participated in the TREC evaluations. It is platform independent and can be set up in just a few minutes. The goal of this project is to give researchers the opportunity to develop new QA techniques without worrying about the end-to-end system.
Experience-Based Language Acquisition (EBLA) is an open computational framework for visual perception and grounded language acquisition. It can "watch" a series of short videos and acquire a simple language of nouns and verbs corresponding to the objects and object-object relations in those videos. Upon acquiring this protolanguage, it can perform basic scene analysis to generate descriptions of novel videos. While there have been several systems capable of learning object or event labels for videos, this is the first known system to acquire both nouns and verbs using a grounded computer vision system.
RebeccaAIML is an enterprise cross platform AIML development platform. RebeccaAIML supports C++, Java, C#, Python, and many other programming languages. It allows AIML development out of the box. RebeccaAIML also comes with an array of AIML administration tools, great documentation, and an Eclipse AIML editor plugin.
Prolog+CG is an implementation of Prolog with extensions for supporting the Conceptual Graph theory of John Sowa, as well as Object-Oriented extensions. CGs are first-class data objects, and thus completely integrated into the language. Prolog+CG can be used for knowledge representation, reasoning about meaning, formal narratological analysis, and other knowledge representation tasks.
CLIPS is a productive development and delivery expert system tool which provides a complete environment for the construction of rule- and/or object-based expert systems. It is used by numerous users throughout the public and private community, including all NASA sites and branches of the military, numerous federal bureaus, government contractors, universities, and many companies.
The Kolmogorov project provides tools for machine perception and tutorials for machine learning, machine perception, and statistics. It supports fast face detection in images and information on Hidden Markov models, Gabor filters, Multivariate Logistic Regression, and Stochastic Differential Equations. It includes MPISearch, a library for detecting objects in images very quickly (real-time in some cases).