Wandora is a general purpose data extraction, management, and publishing application based on Topic Maps and Java. Wandora has a graphical user interface, layered presentation of knowledge, several data storage options, rich data extraction, import and export capabilities, and an embedded HTTP server that enables dynamic publication of Topic Maps. Wandora is well suited for rapid ontology construction and knowledge mashups.
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.
RapidMiner (formerly YALE) is a flexible Java environment for knowledge discovery in databases, machine learning, and data mining. Many nestable learning and preprocessing operators (including Weka) are provided. It features an XML-based graphical user interface, a plugin mechanism, and high-dimensional plotting, and provides an easy-to-use extension mechanism that makes it possible to integrate new operators and adapt the system to your personal requirements. A command line version is also included.
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.
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.
IkeWiki is a new kind of Wiki (a so-called "Semantic Wiki") developed by Salzburg Research that allows users to collaboratively annotate pages and links between pages with semantic annotations. Such annotations are useful because they give machines a certain amount of "understanding" of the content that goes beyond merely displaying the page. This information can then, for example, be used for context-specific presentation of pages, advanced querying, consistency verification, or drawing conclusions.
AceWiki is a semantic wiki that is powerful and at the same time easy to use. Making use of the controlled natural language ACE, the formal statements of the wiki are shown in a way that looks like natural English. In order to help the users to write correct ACE sentences, AceWiki provides a predictive editor.
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.