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 -