Knowledge Hub
Ontotext’s highly configurable and flexible solution for scientific literature monitoring of adverse events efficiently identifies potential ADRs and captures causal relations between key structured ICSR data elements.
NuMedii uses Ontotext’s Semantic data integration services to identify biomedical concepts and relationships in the unstructured texts coming from scientific journals and speed up novel therapies.
A big Bulgarian chain store uses a smart surveillance solution for face recognition based on computer vision technology to efficiently spot suspicious persons and prevent inventory shrinkages.
Ontotext’s smart KYC Adverse Media Monitoring solution can ensure that multinational investment banks comply with regulatory requirements and are protected from reputational risk.
One of the biggest Pharma companies in the world used Ontotext’s solution to build a semantic search tool that would enable its users to easily find relevant information across huge volumes of siloed structured and unstructured data-sources.
GraphDB Enterprise enables the UK Parliament data services http://www.legislation.gov.uk and https://data.gov.uk/ to remodel the way they manage their data and engage users in its work.
Ontotext’s technology helps SN SciGraph to collate high-quality content from trusted sources across the research landscape to overcome internal and external content silos, increase the discoverability of publications, encourage reuse of SN’s datasets and much more.
AstraZaneca used Ontotext technology to develop a platform for Interactive Relationship Discovery that enables the identification of long causal relationship chains between the biomedical objects in the Linked Life Data cloud.
Edamam used a blend of Ontotext technology solutions focused on GraphDB, web mining, text analysis, ontologies and semantic search to develop an extensive knowledge graph about food and cooking.