Reasoning with Temporal Preferences over Data Streams

International audienceThe growing emergence of new applications where the data changes rapidly has boosted the development of several researches related to data streams processing. Preference reasoning is an example of a useful task that can be used to monitor data streams for information that best fit the users wishes. In this paper, we revisited the formalism TPref in order to propose a new approach for processing data streams according to temporal conditional preferences. Our approach, named StreamPref, covers important issues not addressed yet in preference reasoning with temporal conditional preferences