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Useful third-party libraries (possibly originally written in other languages) that have been ported to Java and integrated with OpenIMAJ. Not all modules have the same license.

Provides a manager component which will process a given Throwable instance through a set of diagnostic sub-components, and return a String message with user-friendly information about the error and possibly how to fix it.

Given the gold BioNLP ST gene mentions and other gene mentions - possibly from gene recognizer - merges the two different sources of genes. For simplicity, this component employs two different types to represent genes. The BioNLP ST reader uses the de.julielab.jcore.types.Gene type. The other genes should be realized with de.julielab.jcore.types.Protein annotations.

This plugin makes use of Jython and 2 Pthyon modules (Boto and Troposphere) to allow for automated generation of AWS CloudFormation templates from a Python source file. This alleviates the need to maintain a large and possibly cumbersome JSON file by hand, and allows for proper commenting, modularization, etc.

Cross-Language Ontology Based Similarity Analysis (CL-OSA) is an algorithm that leverages ontology data from Wikidata in order to perform ranked retrieval on possibly plagiarized documents across language boundaries. This repository contains the source code, tests and evaluations for CL-OSA, written in Java.

The HTTP server module (ks-server-http) implements the Web API of the KnowledgeStore, which includes the two CRUD and SPARQL endpoints. The CRUD Endpoint supports the retrieval and manipulation of semi-structured data about resource, mention, entity and axiom records (encoded in RDF, possibly using JSONLD), and the upload / download of resource representation. The SPARQL Endpoint supports SPARQL SELECT, CONSTRUCT, DESCRIBE and ASK queries according to the W3C SPARQL protocol. The two endpoints are implemented on top of a component implementing the KnowledgeStore Java API (the Store interface), which can be either the the KnowledgeStore frontend (ks-frontend) or the Java Client. The implementation of the module is based on the Jetty Web sever (run in embedded mode) and the Jersey JAX-RS implementation. Reference documentation of the Web API is automatically generated using the Enunciate tool.