events as media and knowlege aggregators
Events are points in time that unconsciously (and sometimes consciously) we decide are important and that we remember. To better remember them, we usually associate them a name or a short description (e.g., my talk in Florence). Events, if not happening in the Web (but this case is out of our current interests), are spatially located (e.g., my talk is in Florence) and involve entities, e.g., persons, objects, animals, elements of the ambient (e.g., Fausto Giunchiglia, my slides). In turn these entities are "connected" by a graph of relations; some encode a spatial meaning (e.g., Fausto is near Benedetta), while others describe other information (e.g., Fausto is the father of Benedetta, Fausto is giving a talk). Finally these entities have certain properties which can be visual (e.g., Fausto wears a red T-shirt) or not (e.g., Fausto knows English, Fausto is late). Properties and relations are asserted using natural language words which can arguably be assumed to be understood by everybody and which, when making a statement, are arbitrarily selected inside our own vocabulary (of tens) of thousands of words. In this talk we present an entity centric media management system where media are aggregated by events and where, via events, are provided natural language descriptions which describe their content. Events and event descriptions can be used to aggregate the entities involved in the event itself and, through them, the experiential component captured in media and, at the same time, the various types of (visual and non visual) knowledge of the entities involved.
events media search