The approach was to leverage the competitive advantages of a multi-partite graph engine, to let the user start a query from what is most familiar, and then navigate knowledge landscapes. The user could overview a knowledge maps, in form of a connected graph, or summarise pathways between the first and last queried topic, in form of a textual layout providing logical insights about why and how things are related. Maps aggregated factual information and youtube videos, reducing time for browsing related information of one order of magnitude, and could be could be finally saved and shared for future reference.