Care2x (formerly Care 2002) is software for hospitals and health care organizations. It is designed to integrate the different information systems existing in these organizations into a single efficient system. It solves the problems inherent in a network of multiple programs that are incompatible with each other. It can integrate almost any type of services, systems, departments, clinics, processes, data, or communication that exist in a hospital. Its design can even handle non-medical services or functions like security or maintenance. All of its functions can be accessed with a Web browser, and all program modules are processed on the server side.
dbacl is a digramic Bayesian text classifier. Given some text, it calculates the posterior probabilities that the input resembles one of any number of previously learned document collections. It can be used to sort incoming email into arbitrary categories such as spam, work, and play, or simply to distinguish an English text from a French text. It fully supports international character sets, and uses sophisticated statistical models based on the Maximum Entropy Principle.
HALoGEN is an extremely powerful and easy to use general-purpose natural language generation system. It consists of a symbolic generator, a forest ranker, and some sample inputs. The symbolic generator includes the Sensus Ontology dictionary based on WordNet. The forest ranker includes a 250 million word ngram language model (unigram, bigram, and trigram) trained on the Wall Street Journal newspaper text. The symbolic generator is written in LISP and requires a Lisp interpreter.
Mindmeld is an enterprise-capable knowledge sharing system designed for any Web community that needs to capture and share information. It is unique in that the knowledge base grows smarter every time it's used. It incorporates terms used in each search into a contextual map of the answer itself, continually improving its ability to derive contextual information from a given search. The system learns how people typically search for an answer by identifying which terms are most valuable in any specific context.
The OMCSNet-WordNet project aims to improve the quality of the OMCSNet dataset by using automated processes to map WordNet synonym sets to OMCSNet concepts and import additional semantic linkage data from WordNet. It is based on OMCSNet 1.2, a semantic network and inference toolkit written in Python/Java. OMCSNet currently contains over 280,000 separate pieces of common sense information extracted from the raw OMCS dataset. This project is also based on WordNet, an online lexical reference system that in recent years has become a popular tool for AI researchers.
DIET Agents is a multi-agent platform in Java. A bottom-up design is used to ensure that the platform is lightweight, scalable, robust, adaptive, and extensible. It is especially suitable for rapidly developing peer-to-peer prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.