Emotions are what make us human and emotions are what make us different. A person can make a list of such expressions about the role of human emotions, as they play a central role in our lives, in our interactions with others and the surrounding environment. Emotions are in a broad sense the regulators of our interaction with the world as they play a central role in our perception of the world and in our knowledge construction. In another angle, sensations are our immediate detector of the surrounding environment as, since ever, we see, touch and smell what is around us, we ear friendly voices or run from predator's sounds and taste food that keep us alive. Both emotions and sensations can be used to describe our living and our main interactions with the world. However, despite that important role of senses and emotions, there is a poor representation of sensorial information and lack of understanding of emotions from the side of computational systems. Subsequently it is noticeable the absence of support to acquire and fully represent human sensorial experience and lack of ability to represent, and appropriately react, from those systems to emotional activity. The proposed work consists in developing a framework that acquires knowledge about human emotions from self-reporting or the interaction with Internet objects and media. In particular, it intends to facilitate their emotions description at the Internet from proposed samples of sensorial information allowing a later management of that knowledge for the most diverse objectives, as an example, for searching objects or media through similarities of emotional and sensorial patterns.