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.
Evergreen is an integrated library system originally developed by the Georgia PINES consortium for use as their automation system, and now includes contributions from around the world. It was designed from scratch for large-scale deployment in very large public library and state-wide consortium environments with tens of millions of records and hundreds of libraries, but can also scale down to the smallest of single-branch libraries.
[fleXive] is a Java EE 5 content repository aiming to support upcoming industry standards like CMIS. It strives to provide a holistic approach by offering a comprehensive set of tools and building blocks for building content-centric Web applications around a [fleXive] content repository. It speeds up development by easing many tedious and repetitive programming tasks and helping to keep your application(s) flexible during the development cycle and in production. It concentrates on enterprise-scale content modeling, storage, and retrieval, and includes comprehensive JSF support for displaying and manipulating these contents in (Web) applications. Key features include persistence, security, versioning, multi-language support, and scripting.
AnnotateIt! is an open source electronic response system targeted at composition instructors and students. It allows a user to annotate HTML and provides facilities for group interaction. Annotations may be either hyperlinked or inline, depending on the user's preference. It also features reporting of meta information (annotation types and counts), predefined annotations, community annotations, conversion of documents to HTML for annotation, easy document management, and an assignments calendar.
K.E.T.T.L.E (Kettle ETTL Environment) is a meta- data driven ETL (Extraction, Transformation, Transportation, and Loading) tool. This means that no code has to be written to perform complex data transformations. It is possible to create plugins to do custom transformations or access proprietary data sources. Kettle supports most databases on the market, and has native support for slowly changing dimensions on most database platforms.
JasperServer is specifically designed to provide a general platform for business intelligence. Continuing the philosophy of JasperReports, JasperServer is aimed at providing a managed, stand alone Web reporting and analytic (OLAP) environment, capable of being embedded in existing Java Web applications. It also provides services to a variety of technologies through Web services, including the LAMP stack. By focusing on a clean business API and using an advanced inversion of control architecture, JasperServer can be easily integrated and customized for your needs.
eContent is a Web-based content management system for creating information systems, intranets, B2B, B2C, catalogs, and vertical portals. Written in Java for scalability, and based on open standards Struts and Expresso for stability, eContent integrates content management, scalable content and application delivery, resource management, workflow and personalization. It supports executables, all documents types, OLAP reports, Java programs, and legacy integration.
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.
Wikidbase is a powerful and highly flexible combination of two structural extremes of data management systems: a wiki and a database. As such, it has all of the flexibility of a wiki (e.g. any kind of unstructured data can be stored) and the structural data capabilities of a database (e.g. data may be modelled similarly to database fields, tables, and relations, such that structural reports can me made of that data). The functionality is combined in such a way that this general-purpose data management system may be shaped easily, without the need of a database expert, into a custom data management application such as a contact relation management (CRM) system, a knowledge base, a shared calendar system, a project management system, etc.