Skip to main content
SpringerLink
Log in

Uncertainty in Events

  • Living reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 32 Accesses

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 via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Recommended Reading

  1. Balazinska M, Khoussainova N, Suciu D. PEEX: extracting probabilistic events from rd data. In: Proceedings of 24th International Conference on Data Engineering; 2008.

    Google Scholar 

  2. Halpern JY. Reasoning about uncertainty. Cambridge, MA: MIT Press; 2003.

    Google Scholar 

  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 IEEE International Conference on Multimedia and Expo; 2003.

    Google Scholar 

  4. Luckham D. The power of events: an introduction to complex event processing in distributed enterprise systems. Reading: Addison-Wesley; 2002.

    Google Scholar 

  5. Patton NW. Active rules in database systems. Berlin: Springer; 1999.

    Google Scholar 

  6. Wasserkrug S, Gal A, Etzion O. A model for reasoning with uncertain rules in event composition systems. In: Proceedings of 21st Annual Conference on Uncertainty in Artificial Intelligence; 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IBM Research Labs-Haifa, Haifa, Israel

    Segev Wasserkrug

Authors
  1. Segev Wasserkrug
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Segev Wasserkrug .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. IBM Software Group, IBM Haifa Labs, Haifa University Campus, 34761, Haifa, Israel, Israel

    Opher Etzion

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media New York

About this entry

Cite this entry

Wasserkrug, S. (2016). Uncertainty in Events. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_575-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_575-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation