The project aims towards the creation of a new generation of online reputation monitoring systems, able to understand, process, aggregate and synthesize, in real time, facts, opinions and attitudes around an entity, of presenting such information in multiple dimensions, and of interacting with reputation experts so that they can accomplish their task better and faster. Our research will go from fundamental problems such as textual similarity or data structures for real time Natural Language Processing to prototype validation with reputation experts. Besides algorithms and prototypes, we will also create and distribute test collections to evaluate all relevant technologies in the reputation management scenario.