Provide consistent unified access to data across different systems by using the flexible and semantically precise structure of the knowledge graph model
Implement a Connected Inventory of enterprise data assets, based on a knowledge graph, to get business insights about the current status and trends, risk and opportunities, based on a holistic interrelated view of all enterprise assets.
Quick and easy discovery in clinical trials, medical coding of patients’ records, advanced drug safety analytics, knowledge graph powered drug discovery, regulatory intelligence and many more
Make better sense of enterprise data and assets for competitive investment market intelligence, efficient connected inventory management, enhanced regulatory compliance and more
Connect and model industry systems and processes for deeper data-driven insights in:
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies, Science, Technology and Medicine Publishers, etc.
The goal of this paper is to present over 1.5 million tweets related to the referendum (up until 13 May 2016) analyzed by Ontotext.
In today’s fragmented media landscape, it’s becoming harder and harder to predict outcomes using existing tools. Companies analyzing their content using linked data techniques will find themselves ahead of the curve.
Do you want to see how we analyzed the data and predicted the outcome of the referendum?
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