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Automate Curation and Publishing of
Personal Health Data Through Artificial Intelligence

Sirma AI EAD

Sirma AI, trading as Ontotext, helps enterprises to identify meaning across diverse datasets and massive amounts of unstructured information, and, thus, to upgrade data into knowledge. We enjoy a unique position providing state-of-the-art semantic technology in two distinct but complementary areas – graph database engines and text analytics. Through an unrivaled combination of enterprise-ready products, professional services and technology solutions, Ontotext has successfully established a customer network comprised of leading world-class organizations in healthcare and pharma, publishing, financial services, industry, the public sector and defense. Ontotext commercial successes have their roots in our dedication to innovation. Since 2002, the company has a successful track as a participant in more than 50 research projects within EC framework programmes (Horizon Europe, H2020, FP7, FP6).

Role within AIDAVA

In AIDAVA project, Ontotext is leading the WP6 dedicated to Dissemination, Exploitation, Sustainability and Communication activities. Within AIDAVA, Ontotext leads the way in defining a global data standard, contributes on FAIRification workflows, and the development of novel DL/NLP tools for text-based content and novel machine learning (ML) and knowledge graph (KG) based tools Harmonization and Quality Enhancement of structured data as well as is responsible for the communication, dissemination and exploitation of the project. Another activity Ontotext will be involved in development of novel ML curation algorithms for harmonization and quality enhancement of heterogeneous structured data, and processing of missing data.

Main contacts

Photo of Todor Primov
Todor Primov

Team Leader ONTO

Photo of Svetla Boytcheva
Svetla Boytcheva

Deputy Team Leader, WP 6 Lead