TM4J is a topic map processing toolkit and a set of topic map processing tools. Topic maps are an ISO standard for the interchange of information structures which can be used to represent ontologies, business data and processes, individual knowledge and opinions, and more. The goal of the TM4J project is to develop high-quality, Open Source software for the creation, manipulation, and exchange of topic maps.
The Gaudí Database Visual Editor is a Java application that allows you to visually design the tables of a database using a JDBC 2.0 (or higher) driver. It saves generated diagrams in XML format. It also generates Java code that binds an object to a table from a database and XML code for generating GUIs.
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.
xSiteable is a complete all-you-need package for creating sites that are fully relational, open source, fully templating-enabled, using only XML-based technologies to help you create complex sites on the fly. It packs such features as topic maps, notation for content, and the fast Sablotron xslt parser.
Taverna is a collection of workflow enactment and description components, including a high level language for workflows called Scufl (Simple Conceptual Unified Flow Language), a pure Java object model, parser to populate the model, and a set of views and controllers (including some Swing components to drop into your workflow-enabled applications). In order to actually run workflows you also need the myGrid workflow enactment engine.
Kraken is an application for managing knowledge objects, which can be documents, remote or locally cached Web pages, personal information, todo list items, appointments, and so on. It is especially useful for researchers or students to manage their information. Users can annotate these knowledge objects with metadata, perform complex queries, and present the results as HTML pages. Kraken uses RDF as its native format, allowing its data to be easily read by external applications.