ClinicalTrials Knowledge graph powered by GraphDB

ClinicalTrials Knowledge graph powered by GraphDB

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Explore more than 100 million facts from ClinicalTrials.gov in the form of interconnected RDF Knowledge graph. Search for any category of clinical information, explore visual graphs and identify similarities across clinical trials with Ontotext GraphDB. Answer complex questions like “Give me all terminated studies for a company X” or “Give me all countries with recruiting studies for a condition Y”. To play around with the dataset, follow the instructions provided in the presentation here: https://bit.ly/3jQTzft
OntotextOntotext helps enterprises to identify meaning across diverse datasets and massive amounts of unstructured information since 2000. Ontotext offers technology and services for the development of big knowledge graphs, interlinking multiple structured datasets. Analysis of such graphs provides semantic entity profiles that enable more accurate text analysis, which in turn delivers metadata, new entities and relationships to enrich the graphs.  Ontotext’s most popular product is GraphDB(TM) – a semantic graph database engine. The Ontotext Platform extends it with text analysis, semantic tagging, search, classification and discovery capabilities.  Ontotext delivers products and content analytics solutions to enterprises like S&P, BBC, Financial Times, Elsevier, Wiley, UK Parliament, Kadastr.NL and Fujitsu.  In January 2019 Ontotext AD merged into Sirma AI JSC and became the core of Sirma Group’s Enterprise AI strategy. Sirma AI trades as Ontotext but extends its portfolio with computer vision and facial recognition technology.

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