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Temporal Probabilistic Object Bases
July/August 2003 (vol. 15 no. 4)
pp. 921-939
ASCII Text
x 
 
Veronica Biazzo, Rosalba Giugno, Thomas Lukasiewicz, V.S. Subrahmanian, "Temporal Probabilistic Object Bases," IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 4, pp. 921-939, July/August, 2003.
 
 
BibTex
x
 
@article{ 10.1109/TKDE.2003.1209009,
author = {Veronica Biazzo and Rosalba Giugno and Thomas Lukasiewicz and V.S. Subrahmanian},
title = {Temporal Probabilistic Object Bases},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {15},
number = {4},
issn = {1041-4347},
year = {2003},
pages = {921-939},
doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2003.1209009},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - Temporal Probabilistic Object Bases
IS - 4
SN - 1041-4347
SP921
EP939
EPD - 921-939
A1 - Veronica Biazzo,
A1 - Rosalba Giugno,
A1 - Thomas Lukasiewicz,
A1 - V.S. Subrahmanian,
PY - 2003
KW - Probabilistic databases
KW - uncertainty management
KW - temporal data.
VL - 15
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 

Abstract—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.

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Index Terms:
Probabilistic databases, uncertainty management, temporal data.
Citation:
Veronica Biazzo, Rosalba Giugno, Thomas Lukasiewicz, V.S. Subrahmanian, "Temporal Probabilistic Object Bases," IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 4, pp. 921-939, July-Aug. 2003, doi:10.1109/TKDE.2003.1209009
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