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Probabilistic Temporal Databases

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Encyclopedia of Database Systems
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Synonyms

Temporally uncertain databases; Temporally indeterminate databases

Definition

There are many applications where the fact that a given event occurred is known, but where there is uncertainty about exactly when that event occurred. Such events are called temporally indeterminate events. Probabilistic temporal databases attempt to store information about events that are both temporally determinate and temporally indeterminate. For the latter, they specify a set of time points (often an interval) – it is known that the event occurred at some time point in this set. The probability that the event occurred at a specific time point is given by a probability distribution or by one of a set of probability distributions.

Historical Background

There is no shortage of events that are known to have certainly occurred, but where the exact dates are not known with certainty. For instance, the exact date of the extinction of dinosaurs is unknown – nor does the historical record show the...

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  1. Agrawal P., Benjelloun O., Sarma A.D., Hayworth C., Nabar S.U., Sugihara T., and Widom J. Trio: a system for data, uncertainty, and Lineage. In Proc. 32nd Int. Conf. on Very Large Data Bases, 2006, pp. 1151–1154.

    Google Scholar 

  2. Barbará D., Garcia-Molina H., and Porter D. The management of probabilistic data. IEEE Trans. Knowl. Data Eng., 4(5): 487–502, 1992.

    Google Scholar 

  3. Biazzo V., Giugno R., Lukasiewicz T., and Subrahmanian V.S. Temporal probabilistic object bases. IEEE Trans. Knowl. Data Eng., 15(4):921–939, 2003.

    Google Scholar 

  4. Cavallo R. and Pittarelli M. The theory of probabilistic databases. In Proc. 13th Int. Conf. on Very Large Data Bases, 1987, pp. 71–81.

    Google Scholar 

  5. Dalvi N. and Suciu D. Answering queries from statistics and probabilistic views. In Proc. 31st Int. Conf. on Very Large Data Bases, 2005, pp. 805–816.

    Google Scholar 

  6. Dekhtyar A., Ross R., and Subrahmanian V.S. Probabilistic temporal databases, I: algebra. ACM Trans. Database Syst., 26(1): 41–95, 2001.

    MATH  Google Scholar 

  7. Dey D. and Sarkar S. A probabilistic relational model and algebra. ACM Trans. Database Syst., 21(3):339–369, 1996.

    Google Scholar 

  8. Dyreson C.E. and Snodgrass R.T. Supporting valid-time indeterminacy. ACM Trans. Database Syst., 23(1):1–57, 1998.

    Google Scholar 

  9. Grant J. Partial values in a tabular database model. Inf. Process. Lett., 9(2):97–99, 1979.

    MATH  MathSciNet  Google Scholar 

  10. Kraus S. and Subrahmanian V.S. Multiagent reasoning with probability, time and beliefs. Int. J. Intell. Syst., 10(5):459–499, 1994.

    Google Scholar 

  11. Lakshmanan L.V.S., Leone N., Ross R.B., and Subrahmanian V.S. ProbView: a flexible probabilistic database system. ACM Trans. Database Syst., 22(3):419–469, 1997.

    Google Scholar 

  12. Mittu R. and Ross R. Building upon the coalitions agent experiment (COAX) – integration of multimedia information in GCCS-M using IMPACT. In Proc. Ninth Int. Workshop on Multimedia Information Systems, 2003, pp. 35–44.

    Google Scholar 

  13. Ola A. Relational databases with exclusive disjunctions. In Proc. 8th Int. Conf. on Data Engineering, 1992, pp. 328–336.

    Google Scholar 

  14. Parker A., Subrahmanian V.S., and Grant J. A logical formulation of probabilistic spatial databases. IEEE Trans. Knowl. Data Eng., 19(11):1541–1556.

    Google Scholar 

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Subrahmanian, V.S. (2009). Probabilistic Temporal Databases. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_406

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