Ontotext Completes Work on Medical Text Analytics Platform KConnect Cloud

Tuesday, October 10, 2017

Ontotext is happy to announce that we have completed our work on the EU-funded KConnect project for creating a medical text data-value chain, in which we lead the development of the KConnect Cloud platform.

The KConnect project was funded under the European Union’s Horizon 2020 research and innovation programme and ran between 1 February 2015 and 31 July 2017.

As part of the project, Ontotext’s main role was to lead the development of the KConnect Cloud platform, which was used as the main X-as-a-Service (Data As a Service, TA as a Service, MT As a Service, GraphDB as a Service) provided in the project and beyond.

The platform serves as a marketplace for various biomedical text analytical services such as semantic tagging, relation extraction and machine translation, and for linked data exploration, semantic search and multi-tier graph triple store installations.

The KConnect Cloud Market offers Ontotext’s semantic graph database GraphDB as a Service in multiple tiers, starting from a free version and ending up with a highly scalable Enterprise Version ready to store 1B triples. The setup and the upgrade of each instance are just a click away – all management tasks are automatically maintained by the platform.

KConnect Cloud provides on-demand access to linked open biomedical data, various text mining services and technology for building large-scale knowledge graphs and semantic search engines. Now users can quickly and easily build smart data prototypes at a fraction of the cost of enterprise solutions.

Ontotext was the main contributor to the text analysis pipelines in English with the Semantic Biomedical Tagger and Healthcare Tagger, alongside the University of Sheffield, which contributed with Bio-YODIE. Other partners in the work package developed language-specific pipelines. All pipelines provide semantic tagging of multiple classes of biomedical entities, while some of them provide additional features such as identification of negations, temporality, experience and relations extraction (for example, Drug Dosages).

The knowledge base query and exploration service allows users to pull graph data from a 1.2 billion-triple-strong semantic repository that was developed for the project and stores information about key biomedical concepts such as diseases and conditions, medical procedures, drugs and medical products, etc. The information is presented in multiple languages.

The project was graded ‘Excellent’ by the reviewers and the KConnect Cloud Market was selected as one of the two project deliverables to be included in the ‘Innovation Radar’ portal.

Check out Ontotext’s webinar to explore the text analysis and semantic search capabilities of the KConnect Cloud Market and get your GraphDB now.


For more information, contact Doug Kimball, Chief Marketing Officer at Ontotext