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A simple framework for building Java FX applications. Including a common/fxml dialog API with passable arguments, a database API with standard CRUD operations based on hibernate, a testing suite and other helpful classes.

This component reads de.julielab.jcore.types.EventMention annotations and converts event structures into de.julielab.jcore.types.ext.FlattenedRelation annotation. The purpose of FlattenedRelations is to represent complex event structures in a more simple manner. This can be helpful for visualization or further processing.

MELT is a helpful maven framework for developing, tuning, evaluating, and packaging ontology matching systems. It is optimized to be used in OAEI campaigns and allows to submit matchers to the SEALS and HOBBIT evaluation platform easily. MELT can also be used for non OAEI-related matching tasks and evaluation.

Useful logger for Android based on standard android.util.Log class. Simple lightweight (< 50 Kb) implementation of SLF4J API. Easy but powerful configuration via properties file and some additional helpful logging methods. Easy analogue of popular log4j library.

The exceptions that CXF generates for WSDL soap faults (e.g. input validations, etc) are less than helpful. This project contains root exceptions you can use that are *much more convenient and provide needed information to support personnel.

Shakebug allows you to receive feedback from your beta testers or real users and improve the quality of your application in a simple way. Here users just need to shake their mobile and all the data regarding bugs & crashes can be seen by developers through their log in panel. It also helpful to analyse your users, session, location etc. Addition, you can add events on each action of your application and track it using this Shakebug framework. Sign up for a service at https://www.shakebug.com

This module defines the interfaces for Comparators in the TCS Alignment Toolbox. A Comparator has the purpose of defining the dissimilarity between elements in the input sequences of an Alignment. More specific information on Comparators can be found in the 'Comparator' interface. You can find a lot of helpful standard implementations of Comparators in the comparators-lib module. In the TCS Alignment Toolbox we require the output values of Comparators to lie in the range [0,1]. Many natural dissimilarities on value sets do not meet this criterion, such that additional normalization has to be applied. To that end this package also contains a Normalizer interface for functions that map real values from the range [0, infinity) to the range [0,1]. This package also provides a few convenience implementations of the Comparator interface to make the implementation of custom Comparators simpler, namely: SkipExtendedComparator, ParameterLessSkipExtendedComparator, ComparisonBasedSkipExtendedComparator, and ParameterLessComparisonBasedSkipExtendedComparator. Finally the TCS Alignment Toolbox also provides the means to learn parameters of Comparators. To enable that Comparators must implement the DerivableComparator interface to properly define the parameters that can be learned and the gradient of the dissimilarity with respect to these parameters. Gradients are stored using the Gradient interface as well as some convenience implementations of said interface, namely EmptyGradient, SingletonGradient, ArrayGradient and ListGradient.