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.
Ontotext will be presenting again at the Java2Days 2016 conference, taking place from November 15 to 17 in Sofia, Bulgaria. The event is the first and largest conference presenting cutting edge Java technologies in the region.
Atanas Kiryakov, Ontotext CEO will demonstrate how GraphDB links billions of facts about people and organizations from Wikipedia, the Panama Papers and various other news sources to enable ranking, monitoring and discovery.
|How GraphDB links billions of facts about people and organizations from Wikipedia, Panama papers and news to enable ranking, monitoring and discovery
Mar 11-13, 2024
Walt Disney World Dolphin Resort, Orlando, Florida
Ontotext is excited to announce its participation in the upcoming Gartner Data and Analytics Summit in Orlando, Florida. As a pioneer in the field of graph databases and text analytics, Ontotext is uniquely positioned to showcase how clients are leveraging […]