TY - GEN
T1 - Handling uncertain rules in composite event systems
AU - Wasserkrug, Segev
AU - Gal, Avigdor
AU - Etzion, Opher
PY - 2005
Y1 - 2005
N2 - In recent years, there has been an increased need for active systems - systems that are required to act automatically based on events, or changes in the environment. In many cases, the events to which the system should respond to, have to be inferred from other events based on complex temporal predicates. However, none of the existing composite event systems created to enable such inference can deal with cases in which an event cannot be inferred with absolute certainty based on the reported events. Therefore, in this-paper, we describe how a deterministic event composition system can be extended to manage such uncertainty, and specify the principles of a formal framework for such inference. The contribution of this framework is twofold: It extends the semantics of event composition in a natural manner for probabilistic settings, and it enables the application of these extensions to the quantification of the occurrence probability of events.
AB - In recent years, there has been an increased need for active systems - systems that are required to act automatically based on events, or changes in the environment. In many cases, the events to which the system should respond to, have to be inferred from other events based on complex temporal predicates. However, none of the existing composite event systems created to enable such inference can deal with cases in which an event cannot be inferred with absolute certainty based on the reported events. Therefore, in this-paper, we describe how a deterministic event composition system can be extended to manage such uncertainty, and specify the principles of a formal framework for such inference. The contribution of this framework is twofold: It extends the semantics of event composition in a natural manner for probabilistic settings, and it enables the application of these extensions to the quantification of the occurrence probability of events.
UR - http://www.scopus.com/inward/record.url?scp=32844474530&partnerID=8YFLogxK
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:32844474530
SN - 1577352343
T3 - Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence
SP - 860
EP - 861
BT - Recent Advances in Artifical Intelligence - Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005
A2 - Russell, I.
A2 - Markov, Z.
T2 - Recent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005
Y2 - 15 May 2005 through 17 May 2005
ER -