AI Powered Target Discovery Solution

AI Powered Target Discovery Solution

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Ontotext’s Knowledge Graph Powered Target Discovery helps biotechnology and pharmaceutical companies as well as other research organizations to unlock relevant information and insights in both structured and unstructured reference data sources. All data sources are mapped and managed in a central Knowledge Graph, allowing expert users to extract information about any entity and context of interest, be it gene, disease or protein, in a matter of seconds. Customizable algorithmic and visual analytics can be layered on top of the data model to facilitate in-depth scientific insights and critical decision support. https://www.ontotext.com/solutions/ontotexts-target-discovery/
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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