Ponencia presentada en: I International Conference on Ubiquitous Computing. Alcalá de Henares, Madrid, Spain, June 7-9, 2006In ubiquitous computing we need to know the present context in order
to interact properly with the nearby smart elements. When we are moving
outdoors, mobile devices take a very important role because they provide us
with a link between the world outside and ourselves through means of intelligent
interfaces. There are a lot of situations in which it would be very useful to
know or foresee the future context, i.e. as a geographic environment, in which
we could find ourselves in a near future, and at the same time being able to use
that information from our devices. Therefore we must preview this location
with enough precision and time and be able to use this information from our
mobile device. In our “OnTheWay” system, we used GPS technology and databases
made of past paths taken by a person, in order to predict the next location,
once we had begun a new course, comparing the new one with those ones
stored. The results were amazing: from the data collected about paths travelled
during a month and five days, we got the actual destination in 98% of cases,
when we have only made a 30,35% of the total path. Therefore, including statistic
and semantic information will allow us to upgrade our results, due to the
sedentary human behaviour, the small number of frequently visited locations
and the fact that the paths used to arrive to these locations are usually the sam
