Download JAR files tagged by events with all dependencies

This module provides access to the set of utility classes required to interact with an instance of an AppWorks Gateway from an AppWorks Service. It covers AppWorks dedicated service deployment API, which is a limited subset of the full AppWorks admin API. We currently provide the facility for services to listen to service life-cycle events such as 'service installed', 'service upgraded' and 'service uninstalled'. We also provide the facility for centralised configuration setting management. As AppWorks services are edited from the AppWork Gateway administration console, we provide the ability to respond to updates made here, and also expose creation and update end points for these settings.

<p> MMBase Utils is a part of MMBase, but can also be used in other projects. It contains several kind of utility classes.</p> <p>Highlights:</p> <ul> <li>An implementation of 'events'. Threads can use this to communicate certain things. Using mmbase-clustering, these events can also be sent to other servers.</li> <li>A logging framework</li> <li>A framework for string and byte array transformeration, plus a whole lot of implemetentations for that.</li> <li>Several java.util like classes (collections, dateparsing)</li> <li>File type recognition ('magicfile')</li> <li>The MMBase resourceloader, a generic fall-back mechanism for configuration files and similar resources.</li> <li>...</li> </ul>

The rooster crows immediately before sunrise, the rooster causes the sun to rise. Using GraphX to detect possible causes and effects between time related events. We observe a true causation signal by generating random correlations over same events at different time and back propagate these scores to their most connected events. Finally, we extract the most probable causes and effects together with a score of aggressiveness (how likely an event could explain downstream effects) and sensitivity (how likely an event results from an upstream cause).

Information extraction is the process of identifying specified classes of entities, relations, and events in natural language text – creating structured data from unstructured input. JET, the Java Extraction Toolkit, developed at New York University over the past fifteen years, provides a rich set of tools for research and education in information extraction from English text. These include standard language processing tools such as a tokenizer, sentence segmenter, part-of-speech tagger, name tagger, regular-expression pattern matcher, and dependency parser. Also provided are relation and event extractors based on the specifications of the U.S. Government's ACE [Automatic Content Extraction] program. The program is provided under an Apache 2.0 license.

eFaps is a framework used to map objects with or without attached files to a relational database and optional file systems (only for attaches files). Configurable access control can be provided down to object and attribute level depending on implementation and use case. Depending on requirements, events (like triggers) allow to implement business logic and to separate business logic from user interface. The framework includes integrations (e.g. webdav, full text search) and a web application as 'simple' configurable user interface. Some best practises, example web application modules (e.g. team work module) support administrators and implementers using this framework.

Asynchronous publish-subscribe communication library. Features: 1. Listeners are stored using WeakReferences to prevent memory leaks when they are not unsubscribed. 2. Uses fork-join framework for concurrent event delivery. 3. Publish methods returns collection of Futures that represent event notifications. 4. Supports ordered publishing: guaranteed to notify of the events in order they were published. 5. Provides EventSource and EventService interfaces for better integration with IOC containers and alternative implementations.

SSJ is a Java library for stochastic simulation, developed under the direction of Pierre L'Ecuyer, in the Département d'Informatique et de Recherche Opérationnelle (DIRO), at the Université de Montréal. It provides facilities for generating uniform and nonuniform random variates, computing different measures related to probability distributions, performing goodness-of-fit tests, applying quasi-Monte Carlo methods, collecting (elementary) statistics, and programming discrete-event simulations with both events and processes.

This is a generic parent POM for some portlet developed for the WebLab platform by EADS team members. For some needs we developed the Abstract WebLab Portlet. It eases development if multiple events need to be handled. If you do not need these functionalities, please consider using an other parent POM for you portlet instead of this POM. Please note that some libraries need to be provided by the portal. Some provided libraries are probably in the portal own libraries (javax.portlet:portlet-api, javax.servlet:servlet-api, javax.servlet:jstl and taglibs:standard). Some other need to be added by your own (for eventing), they are WebLab specific, since we encourage you to only exchange objects of the WebLab model as events (org.weblab-project.core:model, org.weblab-project.core:extended).