Use enterprise knowledge – globally across boundaries

Coreon combines taxonomies with terminology
to create and deploy Multilingual Knowledge Systems.
Coreon makes search, machine learning, and
IoT applications interoperable.

try it out


Knowledge in Terminology

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

Keep linked terminology clean and consistent for safe reuse in mission critical applications.

learn more


Semantic Metadata

With Coreon data scientists and engineers turn textual data into structured, deeply annotated content. Unlock the knowledge in your documents.

Facilitate cross-border interoperability. Master language.

learn more


Business Insights

With Coreon digital transformation teams extract key facts and deliver actionable intelligence.

Break down data silos. Provide context for text analytics. Boost your AI and ML projects.

learn more

Multilingual Knowledge

Multilingual Knowledge for the Data-Centric Enterprise

With a SPARQL endpoint added to the Coreon MLK system, your organization can deploy a common knowledge infrastructure.

The post…

Keeping Your Sanity with Machine Taxonomization

An automated head-start can make handling your terminology data faster and more efficient.

The post Keeping Your Sanity with Machine

Making Translation GDPR-Compliant

It’s a huge issue for the translation industry, but GDPR needn’t be a hindrance to the way your company works.

Meet us

3 - 6 MAY 2021

Knowledge Graph Conference

The Knowledge Graph Conference bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology. Alena Vasilevich, Multilingual Knowledge Consultant at Coreon, will speak about: Benefits of Collaborative AI: Taxonomization of IATE, the EU Terminology


1 - 2 JUN 2021 (9:30 am - 6:00 pm)

Leading the Digital Decade

Leading the Digital Decade, held 1-2 June, is a two-day online event focused on Europe’s digital transformation towards 2030. What should the future of digital in Europe be? What should our 2030 goals be when it comes to digital transformation? How can we make sure we meet our objectives? These are the main questions that Leading the Digital Decade aims to answer.


6 - 10 JUN 2021 (9 am - 6 pm)

ESWC 2021: Knowledge Graph Construction

The ESWC is a major venue for discussing the latest scientific results and technology innovations around semantic technologies. Building on its past success, ESWC is seeking to broaden its focus to span other relevant related research areas in which Web semantics plays an important role. We present during the Knowledge Graph Construction Workshop our success in semi-automatically creating a taxonomy. Watch out for the presentation: Collaborative-AI Knowledge Graph Generation: Taxonomization of IATE, the EU Terminology

Hersonissos, Greece

1 - 3 SEP 2021 (9 am - 6 pm)

LDK 2021: SALLD Workshop

Language, Data and Knowledge (LDK) aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. With the advent of the Web and digital technologies, an ever increasing amount of language data is now available across application areas and industry sectors, including social media, digital archives, company records, etc. The efficient and meaningful exploitation of this data in scientific and commercial innovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs Language data is of increasing importance to machine learning-based approaches in NLP, Linked Data and Semantic Web research and applications that depend on linguistic and semantic annotation with lexical, terminological and ontological resources, manual alignment across language or other human-assigned labels. The acquisition, provenance, representation, maintenance, usability, quality as well as legal, organizational and infrastructure aspects of language data are therefore rapidly becoming major areas of research that are at the focus of the conference. Knowledge graphs is an active field of research concerned with the extraction, integration, maintenance and use of semantic representations of language data in combination with semantically or otherwise structured data, numerical data and multimodal data among others. Knowledge graph research builds on the exploitation and extension of lexical, terminological and ontological resources, information and knowledge extraction, entity linking, ontology learning, ontology alignment, semantic text similarity, Linked Data and other Semantic Web technologies. The construction and use of knowledge graphs from language data, possibly and ideally in the context of other types of data, is a further specific focus of the conference. **We present our journey to SPARQL during the SALLD Workshop on 1st September.**

Zaragoza, Spain

Follow us