DKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework. Many powerful and state-of-the-art NLP components are already freely available in the NLP research community. New and improved components are being developed and released continuously. The components cover the whole range of NLP-related processing tasks. DKPro Core provides wrappers for such third-party tool as well as original NLP components. DKPro Core builds heavily on uimaFIT which allows for rapid and easy development of NLP processing pipelines.
DKPro WSD provides UIMA components which encapsulate corpus readers, linguistic annotators, lexical semantic resources, WSD algorithms, and evaluation and reporting tools. You configure the components, or write new ones, and arrange them into a data processing pipeline. DKPro WSD is modular and flexible. Components which provide the same functionality can be freely swapped. You can easily run the same algorithm on different data sets, or test several different algorithms on the same data set.
Unlike other Java to Objective-C solutions, Java-Objective-C Bridge doesn't require any code generation of class stubs. It allows you to use any Objective-C libraries and frameworks from Java without having to write any native code. In addition to being able to use Objective-C objects, it allows you to pass Java objects to the objective-c runtime as delegates, so that you can write an entire Cocoa application in Java. The bridge provides 3 levels of abstraction. At the lowest level, it provides wrappers around the Objective-C runtime functions. At a slightly higher level of abstraction, it provides a procedural API to send messages to the Objective-C runtime. At the highest level of abstraction, it provides a Proxy class that serves as a wrapper around any Objective-C object that allows you to work with it in Java almost the same as if you were in Objective-C.
OrientDB is a NoSQL DBMS which can store 150,000 documents per second on common hardware. Even with a document-based database, the relationships are managed as in graph databases, with direct connections among records. You can traverse entire or parts of trees and graphs of records in a few milliseconds. It supports schema-less, schema-full, and schema-mixed modes, has a strong security profiling system based on users and roles, and supports SQL between the query languages. Thanks to the SQL layer, it's straightforward to use for people skilled in the relational world.
TimeMachine Scheduler is a Java scheduler which can scale and run a high volume of jobs with many different types of schedules, such as repeating on a fixed interval or based on cron expressions. The scheduler can control the job executions with thread pools, and it can persist job data into different storage receptacles. Users may use the built-in schedule server with an easy-to-use configuration file, or developers may use it as a library to extend the scheduler and write custom jobs, schedules, or user services.
TomP2P is a P2P-based high performance key-value pair storage library. Each peer has a table (either disk-based or memory-based) to store its values. A single value can be queried or updated with a secondary key. The underlying communication framework uses Java NIO to handle many concurrent connections.
jOOX stands for Java Object Oriented XML. It is a simple wrapper for the org.w3c.dom package to allow for fluent XML document creation and manipulation where DOM is required but too verbose. jOOX only wraps the underlying document and can be used to enhance DOM, not as an alternative. It is inspired by jOOQ and jQuery.