This is a list of several softwares that could be used in the Hybride project.


Coron is a domain and platform independent, multi-purposed data mining toolkit, which incorporates not only a rich collection of data mining algorithms, but also allows a number of auxiliary operations. To the best of our knowledge, a data mining toolkit designed specifically for itemset extraction and association rule generation like Coron does not exist elsewhere. Coron also provides support for preparing and filtering data, and for interpreting the extracted units of knowledge.


GATE, a General Architecture for Text Engineering, was first released in 1996, then completely re-designed, re-written, and re-released in 2002. The system is now one of the most widely-used systems of its type and is a relatively comprehensive infrastructure for language processing software development.


MetaMap is a highly configurable program developed at the National Library of Medicine (NLM) to map biomedical text to the UMLS Metathesaurus or, equivalently, to discover Metathesaurus concepts referred to in text. MetaMap uses a knowledge-intensive approach based on symbolic, natural-language processing (NLP) and computational-linguistic techniques.


The Semantic Knowledge Representation (SKR) Project was initiated at NLM in order to develop programs to provide usable semantic representation of biomedical free text by building on resources currently available at the library. Access to biomedical information depends on reliable representation of the knowledge contained in text. For significant advances to be achieved a richer representation will be required than is currently available. As an example of the type of enhanced representation we are proposing, output contains the semantic propositions which represent some of the information contained in the text.


WordNet is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet's structure makes it a useful tool for computational linguistics and natural language processing.