In a world where a quintillion bytes of data are being generated every day, we face a critical challenge with real time processing, management and querying of data. We need a framework that is able to learn to recognize the data to process, select the right data processing tools and algorithms based on goal, functionality and performance, and link knowledge to answer queries for decision support. The CFI JELF award will enable students and researchers working at the Big Data Analytics and Management Laboratory (BAM Lab) to build a smart big data analytics and a semantic knowledge management framework for analyzing static and real-time streaming data using cutting edge data analysis, knowledge management tools, and novel machine learning models. A distributed multi-cluster semantic knowledge management infrastructure will also be implemented for the generated knowledge that will allow better organization and linking of knowledge for decision making. A ubiquitous cloud accessible interface will be developed to facilitate user access to the data analytic framework. With collaborators from Gnowit, IBM, the Canadian Institute for Military and Veteran Health Research (CIMVHR), and the Canadian Primary Care Sentinel Services Network (CPCSSN), machine learning models and data analytic pipelines will be created for analyzing medical, engineering, IoT and social media data to validate the framework for a variety of decision support scenarios. The highly qualified personnel (HQP) trained through the project will get expertise in data modeling and management techniques and tools to spearhead the move towards intelligent systems. The new computing infrastructure will enable the creation of a world-class research facility in Ontario at Queen’s University that will provide high-quality training and attract great minds to develop innovative technology to empower Ontario’s digital economy.