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Visual and Systematic

Modern Terminology Management

With Coreon you build and access terminologies, taxonomies, ontologies, and vocabularies within one enterprise-scale multilingual knowledge graph.

Never lose control: Keep terminology clean and consistent for safe reuse in mission critical applications

Image Pattern Terminologie Management
One System, One View

360° Control through Systematic Approach

The Coreon MKS unifies knowledge graphs with terminology: The individual terminological entries (concepts) are linked in the graph, while each entry itself is elaborated into potentially dozens of languages with unlimited descriptive and documentary information.

The knowledge graph is language neutral, the linking is not per term but per concept. This way the maintenance of the relations is not dependent from the labels, the terms and their variants, but happens efficiently only once per concept. Working on terms has no side-effects on the graph and vice versa. But they reside in one and the same resource.

Crafting terminology via a knowledge graph is the proven, very systematic methodology. It has immediate benefits and is a time-saver for the maintainers, the terminologists:

– Define concepts more explicitly: relations make meanings explicit;
– Group concepts by semantic closeness: similar “things” are stored close to each other;
– Navigate from generic to more specific: locate concepts you don’t know they are in;
– Keep up a high quality resource: see the gaps, identify the doublettes.

Through this systematic approach you keep control over a daily and ever growing resource and ensure the data quality needed for Multilingual AI.

Terminologie Management Pattern
Unify Language and Semantic Assets

Made for Organization-Wide Use

Global manufacturers rely on MKS to make their communication effective and efficient, in any language. This growing resource will not only be of value for authors or translators but is a knowledge treasure for all employees, suppliers, and customers.

However, a tool that lists thousands of terms only alphabetically is insufficient. It rather requires an underlying knowledge graph, a concept system: A concept, a unit of thought, is only well understood through its neighborhood, the more general, the more specific concepts and its siblings. Consider the concept ‘Tuesday’: it is explicitly defined and delimited through the existence of its siblings ‘Monday’ and ‘Wednesday’.
Users are no longer exhaustingly browsing through long word lists or glossaries. Instead they navigate smoothly through a rich visual map of connected concepts.

Deploy your MKS enterprise-wide: An innovative, very appealing user interface and ease-of-use is key for company-wide acceptance.

Terminologie Management Pattern
Leverage Existing Assets

Populate Your Multilingual Knowledge System

Microsoft Excel or Word lists, existing termbases in proprietary formats or in ISO TBX, W3C SKOS, RDF and other syntaxes … transform existing resources into an MKS. And even “flat” term lists can be fast transformed into a knowledge graph.

The visual concept map enables the semantic exploration of product information. Wordlist-like data collections that originated from authoring and translation are now usable for all knowledge workers and systems.

By elevating Terminology Managements to multilingual knowledge it becomes part of a LangOps strategy and a critical resource of companies’ information infrastructure.

Terminologie Management Pattern
Single Source of Truth

Embed into multiple Solutions

Avoid data silos. Leverage your MKS as a backbone through its RESTful Web and SPARQL APIs.

Corporations integrate Coreon into translation and authoring workflows and benefit from very precise term interactions through taxonomy motivated fallback and clarification rules. Content management systems and content delivery portals annotate and link text topics with concepts in the knowledge graph.

Linked Data: Other applications link to any single data value stored in the MKS as is required for Semantic Web applications.


Classify, analyze, generate.