Data is produced in big volume, velocity and variety. Despite many research initiatives in big data analytics, individual users are still overwhelmed with a flood of data. Current big data strategies focus mainly on organizational uses of data analytics. In contrast, the long-term vision of this project is to assists individuals in coping with big data using an artificially intelligent digital assistant. Dealing with information overload is a personal connective learning process. Therefore, we envision a software that enables individuals to connect new relevant data to an existing distributed but integrated cloud-based knowledge structure semi-automatically. The goal of this small project is to establish a software framework that makes manifest the concept of a personal knowledge warehouse based on knowledge connectivity. This project has two deliverables: (1) a small software prototype that demonstrates the key concepts from an engineering perspective, and (2) a scientific publication that defines possible answers to the research questions from a scientific perspective. This will help establish funding for a larger project that focuses on user experience.