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Coreon is a fully featured terminology management application. Its concept-oriented, flexible design caters for all needs of enterprise terminology work: Clarify meanings and define terms, capture all variants (spellings, acronyms, short/long forms) and synonyms, classify and weigh them. The system automatically records data changes to trace back and enable audit trails.
Actively avoid a confusion of form and content. Always work in the conceptual semantic context thus better understanding meanings instead of looking onto one or two isolated records of terms. Draft new terms, definitions or translations in congruence with parent concepts, guided by related descriptions and context. Assign labels to taxonomy nodes as well as control their usage and history.
Good at detail, but no longer seeing the forest for the trees? Regain control over your large collections of terms and concepts. From general to more specific – with taxonomies you are relying on a proven approach to get large information under control, to bring meaningful structure into the resource. Instead of scrolling through thousands of terms, you climb up/down along the path of broader, narrower and related concepts.
Store all terms, descriptors and all information together, in all languages.
You will not find a “synonym” field – in Coreon terms become synonyms through the simple approach that they are stored within the same concept. This allows you to describe each term separately to the degree desired.
In Coreon you are not tied to built-in fields for “preferred” versus “alternative” terms. Rather specify your own classificatory attributes that reflect your domain and workflow.
Clarify concepts and terms with one or more images, sound files, videos or reference documents.
This repository contains content from study and research carried out at the FH Cologne (Fachhochschule Köln), in the framework of diploma thesis at the Institute for Translation and Multilingual Communication.
The content illustrates how Coreon brings together full-featured terminological information with conceptual relations. Each term is attributed with extensive descriptive meta data, it demonstrates Coreon’s flexibility.
The conceptual relations in this data set illustrate that Coreon’s concept maps are not only simple trees but in fact cater for multiple parent-child relations which go beyond simple tree/folder explorers. For instance, search for the concept white balance and see how it is linked to three parent concepts.Explore