TY - GEN
T1 - A declarative framework for matching iterative and aggregative patterns against event streams
AU - Anicic, Darko
AU - Rudolph, Sebastian
AU - Fodor, Paul
AU - Stojanovic, Nenad
PY - 2011
Y1 - 2011
N2 - Complex Event Processing as well as pattern matching against streams have become important in many areas including financial services, mobile devices, sensor-based applications, click stream analysis, real-time processing in Web 2.0 and 3.0 applications and so forth. However, there is a number of issues to be considered in order to enable effective pattern matching in modern applications. A language for describing patterns needs to feature a well-defined semantics, it needs be rich enough to express important classes of complex patterns such as iterative and aggregative patterns, and the language execution model needs to be efficient since event processing is a real-time processing. In this paper, we present an event processing framework which includes an expressive language featuring a precise semantics and a corresponding execution model, expressive enough to represent iterative and aggregative patterns. Our approach is based on a logic, hence we analyse deductive capabilities of such an event processing framework. Finally, we provide an open source implementation and present experimental results of our running system.
AB - Complex Event Processing as well as pattern matching against streams have become important in many areas including financial services, mobile devices, sensor-based applications, click stream analysis, real-time processing in Web 2.0 and 3.0 applications and so forth. However, there is a number of issues to be considered in order to enable effective pattern matching in modern applications. A language for describing patterns needs to feature a well-defined semantics, it needs be rich enough to express important classes of complex patterns such as iterative and aggregative patterns, and the language execution model needs to be efficient since event processing is a real-time processing. In this paper, we present an event processing framework which includes an expressive language featuring a precise semantics and a corresponding execution model, expressive enough to represent iterative and aggregative patterns. Our approach is based on a logic, hence we analyse deductive capabilities of such an event processing framework. Finally, we provide an open source implementation and present experimental results of our running system.
UR - https://www.scopus.com/pages/publications/84894424285
U2 - 10.1007/978-3-642-22546-8_12
DO - 10.1007/978-3-642-22546-8_12
M3 - Conference contribution
AN - SCOPUS:84894424285
SN - 9783642225451
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 138
EP - 153
BT - Rule-Based Reasoning, Programming, and Applications - 5th International Symposium, RuleML 2011, Proceedings
T2 - 5th International Symposium on Rules: Research Based and Industry Focused, RuleML 2011
Y2 - 19 July 2011 through 21 July 2011
ER -