Complex Event Processing approach for Strategic Intelligence

Museux, Nicolas; Mattioli, Juliette; Laudy, Claire; Soubaras, Hélène

doi:10.1109/icif.2006.301635

Cited by 13 publications

(8 citation statements)

References 6 publications

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“…Although the CEP formalism has primarily arisen out of financial and stock trading applications, it has recently been applied to other applications including smart energy [11], heterogeneous sensor network processing [10], radio frequency identification (RFID) middleware [12], and data fusion applications for "strategic intelligence" [13]. In the latter, Meseux et al use CEP to perform Joint Directors of Laboratories (JDL) data fusion process model Level 2 and 3 tasks of situation and threat assessment via the CEP tasks of filtering, aggregating, and detection via event pattern rules (EPRs).…”

Section: Complex Event Processing (Cep)mentioning

confidence: 99%

Conserving analyst attention units: use of multi-agent software and CEP methods to assist information analysis

2013

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Although the capability of computer-based artificial intelligence techniques for decision-making and situational awareness has seen notable improvement over the last several decades, the current state-of-the-art still falls short of creating computer systems capable of autonomously making complex decisions and judgments in many domains where data is nuanced and accountability is high. However, there is a great deal of potential for hybrid systems in which software applications augment human capabilities by focusing the analyst's attention to relevant information elements based on both a priori knowledge of the analyst's goals and the processing/correlation of a series of data streams too numerous and heterogeneous for the analyst to digest without assistance.Researchers at Penn State University are exploring ways in which an information framework influenced by Klein's (Recognition Primed Decision) RPD model, Endsley's model of situational awareness, and the Joint Directors of Laboratories (JDL) data fusion process model can be implemented through a novel combination of Complex Event Processing (CEP) and Multi-Agent Software (MAS). Though originally designed for stock market and financial applications, the high performance data-driven nature of CEP techniques provide a natural compliment to the proven capabilities of MAS systems for modeling naturalistic decision-making, performing process adjudication, and optimizing networked processing and cognition via the use of "mobile agents." This paper addresses the challenges and opportunities of such a framework for augmenting human observational capability as well as enabling the ability to perform collaborative context-aware reasoning in both human teams and hybrid human / software agent teams.

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Section: Complex Event Processing (Cep)mentioning

confidence: 99%

Conserving analyst attention units: use of multi-agent software and CEP methods to assist information analysis

2013

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“…A few research papers discussing of intelligence processes are published. In [7] rough sets theory is used to improve battlefield reconnaissance intelligence processing and in [8] complex event processing approach for strategic intelligence is represented. Visual surveillance has been an active research area in computer vision and image processing which is studied in [9] applied to long-range target classification.…”

Section: Related Workmentioning

confidence: 99%

Boosting intelligence analysis process and situation awareness using the self-organizing map

Kärkkäinen¹

2009

Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing

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Situational awareness is critical on the modern battlefield. A large amount of intelligence information is collected to improve decision-making processes, but in many cases this huge information load is even decelerating analysis and decision-making because of the lack of reasonable tools and methods to process information. To improve the decision making process and situational awareness, lots of research is done to analyze and visualize intelligence information data automatically. Different data fusion and mining techniques are applied to produce an understandable situational picture. Automated processes are based on a data model which is used in information exchange between war operators. The data model requires formal message structures which makes information processing simpler in many cases. In this paper, generated formal intelligence message data is visualized and analyzed by using the self-organizing map (SOM). The SOM is a widely used neural network model, and it has shown its effectiveness in representing multi-dimensional data in two or three dimensional space. The results show that multidimensional intelligence data can be visualized and classified with this technique. The SOM can be used for monitoring intelligence message data (e.g. in purpose of error hunting), message classification and hunting correlations. Thus with the SOM it is possible to speed up the intelligence process and make better and faster decisions.

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“…The CEP technology is used for building and managing information systems [17], [18]. The goal of CEP is to enable the information contained in the events flowing through an information system to be discovered, understood in terms of its impact on high-level management goals and business processes and acted upon in real time.…”

Section: Complex Event Processing Technologymentioning

confidence: 99%

“…It is located in time and related to some other events. It has a form and it can be as simple as a message, or made up of multiple data components [17], [18].…”

Section: A Event and Event Patternmentioning

confidence: 99%

A smart transmission grid fault diagnosis and analysis system based on CEP technology

Liu¹,

Zhou

Shugang

et al. 2011

2011 IEEE PES Innovative Smart Grid Technologies

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A smart transmission grid fault diagnosis and analysis system (FDAS) is presented based on the complex event processing (CEP) technology. Firstly, the basic concept of the CEP technology is introduced. Secondly, a systematic hierarchical structure of fault diagnosis and analysis system based on CEP technology is illustrated. Thirdly, the events and patterns are modeled on the extensible markup language (XML) files. Finally, case analysis shows that the FDAS is a system good at fast identifying cause during cascading failure, supplying optimum dispatching strategy, and avoiding blackouts effectively.

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Complex Event Processing approach for Strategic Intelligence

Cited by 13 publications

References 6 publications

Conserving analyst attention units: use of multi-agent software and CEP methods to assist information analysis

Conserving analyst attention units: use of multi-agent software and CEP methods to assist information analysis

Boosting intelligence analysis process and situation awareness using the self-organizing map

A smart transmission grid fault diagnosis and analysis system based on CEP technology

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