TY - JOUR T1 - Temporal probabilistic object bases JF - Knowledge and Data Engineering, IEEE Transactions on Y1 - 2003 A1 - Biazzo,V. A1 - Giugno,R. A1 - Lukasiewicz,T. A1 - V.S. Subrahmanian KW - algebra; KW - algebraic KW - bases; KW - constraints; KW - data KW - database KW - database; KW - databases; KW - distribution KW - explicit KW - functions; KW - handling; KW - implicit KW - instances; KW - integrity; KW - intervals; KW - management; KW - model; KW - models; KW - object KW - object-oriented KW - operations; KW - probabilistic KW - probability KW - probability; KW - relational KW - temporal KW - theory; KW - Uncertainty KW - uncertainty; AB - There are numerous applications where we have to deal with temporal uncertainty associated with objects. The ability to automatically store and manipulate time, probabilities, and objects is important. We propose a data model and algebra for temporal probabilistic object bases (TPOBs), which allows us to specify the probability with which an event occurs at a given time point. In explicit TPOB-instances, the sets of time points along with their probability intervals are explicitly enumerated. In implicit TPOB-instances, sets of time points are expressed by constraints and their probability intervals by probability distribution functions. Thus, implicit object base instances are succinct representations of explicit ones; they allow for an efficient implementation of algebraic operations, while their explicit counterparts make defining algebraic operations easy. We extend the relational algebra to both explicit and implicit instances and prove that the operations on implicit instances correctly implement their counterpart on explicit instances. VL - 15 SN - 1041-4347 CP - 4 M3 - 10.1109/TKDE.2003.1209009 ER -