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As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledgediscovery this year. In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledge graphs easier and richer.
Data analysis is a type of knowledgediscovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. For super rookies, the first task is to understand what data analysis is.
ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, KnowledgeDiscovery and Machine Learning for 26 th Annual Conference in San Diego.
We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledgediscovery. Such knowledge graphs deliver not only “operational optimizations”, but help organizations combine their proprietary wisdom and information with rich domain knowledge and get a competitive advantage in dynamic environments.
Data Fabric hit the Gartner top ten in 2019. Start delivering the answers to your original questions through different knowledgediscovery tools such as powerful SPARQL queries, easy to use GraphQL interface, semantic search, faceted search, data visualization, etc. It is a buzzword. Maximize the usability of your data.
On March 19, 2019, Economy.bg Source: Economy.bg. interviewed Milena Yankova, Head of Research and Innovation for Ontotext. Learn about how machines can and do help people to be more efficient and more creative.
Search and knowledgediscovery technology is required for organizations to uncover, analyze, and utilize key data. Now, a new wave of AI generative AI (GenAI) is changing how forward-looking organizations approach search, knowledge management, and other forms of knowledgediscovery. How did we get here?
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