Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Uncertainty in Events

  • Segev Wasserkrug
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_575

Synonyms

Event uncertainty

Definition

Uncertainty in events is uncertainty regarding either the occurrence of an event, or uncertainty regarding the data values associated with an event. This uncertainty is a result of a gap between the actual occurrences of events in the real world, and the availability of knowledge regarding the events.

Historical Background

The first event-based systems were active databases, in which automatic actions were carried out as a result of database queries. This was done using the ECA(Event-Condition-Action) paradigm. However, in many such database applications, the events of interest were not the results of single queries, (e.g., insertion or deletion of data), but rather could be deterministically inferred from several such queries. To facilitate such inferences, event inference languages were defined. Initially such languages were specific to active databases (e.g., SNOOP and ODE). However, more general languages were developed suitable for...

This is a preview of subscription content, log in to check access.

Recommended Reading

  1. 1.
    Balazinska M, Khoussainova N, Suciu D. PEEX: extracting probabilistic events from rd data. In: Proceedings of the 24th International Conference on Data Engineering; 2008.Google Scholar
  2. 2.
    Halpern JY. Reasoning about uncertainty. Cambridge, MA: MIT Press; 2003.zbMATHGoogle Scholar
  3. 3.
    Li C-S, Aggarwal C, Campbell M, Chang Y.-C, Glass G, Iyengar V, Joshi M, Lin C-Y, Naphade M, Smith JR. Epi-spire: a system for environmental and public health activity monitoring. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2003.Google Scholar
  4. 4.
    Luckham D. The power of events: an introduction to complex event processing in distributed enterprise systems. Reading: Addison-Wesley; 2002.Google Scholar
  5. 5.
    Patton NW. Active rules in database systems. Berlin: Springer; 1999.CrossRefGoogle Scholar
  6. 6.
    Wasserkrug S, Gal A, Etzion O. A model for reasoning with uncertain rules in event composition systems. In: Proceedings of the 21st Annual Conference on Uncertainty in Artificial Intelligence; 2005.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.IBM Research Labs-HaifaHaifaIsrael

Section editors and affiliations

  • Opher Etzion
    • 1
  1. 1.IBM Software GroupIBM Haifa LabsHaifaIsrael