Paper Info
Title
Retractable complex event processing and stream reasoning
Abstract
Complex Event Processing (CEP) deals with processing of continuously arriving events with the goal of identifying meaningful patterns (complex events). In existing stream database approaches, CEP is manly concerned by temporal relations between events. This paper advocates for a knowledge-rich CEP with Stream Reasoning capabilities. Secondly, we address the problem of revision in event processing. Events are often assumed to be immutable and therefore always correct. Revision in event processing deals with the circumstance that certain events may be revoked. This necessitates to reconsider complex events which might have been computed based on the original, flawy history as soon as part of that history is corrected. In this paper, we present a novel approach for knowledge-based CEP and Stream Reasoning, including revisions of events too. We present a rule-based language for pattern matching over event streams with a precise syntax and the declarative semantics. We devise an execution model for the proposed formalism, and provide a prototype implementation. Extensive experiments have been conducted to demonstrate the efficiency and effectiveness of our approach.
Year
DOI
Venue
2011
10.1007/978-3-642-22546-8_11
RuleML Europe
Keywords
Field
DocType
stream reasoning capability,certain event,flawy history,stream reasoning,retractable complex event processing,event processing,knowledge-rich cep,knowledge-based cep,complex event,event processing deal,event stream
Data mining,Stream reasoning,Computer science,Event stream,Complex event processing,Execution model,Formalism (philosophy),Pattern matching,Syntax,Database,Semantics
Conference
Volume
ISSN
Citations 
6826
0302-9743
6
PageRank 
References 
Authors
0.52
15
4
Name
Order
Citations
PageRank
Darko Anicic143731.28
Sebastian Rudolph296659.18
Paul Fodor320812.58
Nenad Stojanovic41605152.52