Join this webinar to learn how life science, healthcare and biomedical organizations can accelerate discovering business insights and drive faster critical decision making.28 September 2023
Join Ontotext at booth 305! You’ll get practical advice, and hear inspiring thought leadership on how KM and related disciplines can provide enormous value for your organization and transform your business.
Nov 06-09, 2023
Washington, DC, booth 305
Ontotext will be attending and speaking at BioTechX Europe 2023. The 2023 conference will be held at Hall 1, Messe Basel, Switzerland, October 4-6th. BioTechX At a Glance BioTechX 2023 is Europe’s largest pharmaceutical development and healthcare event. The conference […]
Oct 04-06, 2023
Basel, Switzerland, booth 807
Ontotext is sponsoring and participating in the upcoming SEMANTiCS 2023 in Leipzig, Germany, September 20-22, 2023. Meet us there!
Sep 20-22, 2023
HYPERION Hotel Leipzig, Germany
Come meet Ontotext at Big Data London 2023!
Sep 20-21, 2023
Olympia, London, Booth X753
Ontotext announces that its core product, GraphDB, is now available in the AWS Marketplace to support cloud data migration
GraphDB 10.3 brings ChatGPT integration, upgraded versions of Ontop, Elasticsearch and Solr connectors, a new dedicated OpenSearch connector , and a number of SHACL improvements and general bug fixes
Vera.ai and three other EU projects are organizing the event designed to bring together experts from various sectors who possess valuable knowledge on combatting disinformation.
Ontotext’s Target Discovery enables pharma and biotech companies gain 10x more efficient insight discovery, 4x faster information retrieval as well as advanced visual and data analytics, saving hundreds of thousands of dollars
The BROD project brings together researchers and journalists actively engaged in fact-checking efforts in Bulgaria and Romania, with the support of Ontotext as a partner in the consortium
The latest offering enables users to utilize the taxonomical instance data in their knowledge graph in order to achieve highly explainable and customizable out-of-the-box taxonomy-driven tagging.