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Enabling knowledge-based complex event processing

Kia Teymourian, Adrian Paschke
2010 Proceedings of the 1st International Workshop on Data Semantics - DataSem '10  
Huge amounts of domain background knowledge stored in external knowledge bases can be used in combination with event processing in order to achieve more knowledgeable complex event processing.  ...  Usage of background knowledge about events and their relations to other concepts in the application domain can improve the expressiveness and flexibility of complex event processing systems.  ...  This knowledge can be queried from the event processing agents based on the demands of the event query rules.  ... 
doi:10.1145/1754239.1754281 dblp:conf/edbtw/TeymourianP10 fatcat:hhbzpi2hnje77l4x7rjf2ub3li

Knowledge-Enabled Complex Event Processing-based platform for health monitoring

Francesco Nocera, Tommaso Di Noia, Marina Mongiello, Eugenio Sciascio
Complex Event Processing (CEP) systems associate a precise semantics to the information items being processing.  ...  In this paper we discuss how semantic technologies can contribute to the field of complex event and study their support in health monitoring domain.  ...  Events-based semantic models can improve the quality of event processing by using metadata in combination with knowledge bases consisting of ontologies and rules.  ... 

Optimising Complex Event Queries over Business Processes Using Behavioural Profiles [chapter]

Matthias Weidlich, Holger Ziekow, Jan Mendling
2011 Lecture Notes in Business Information Processing  
Based thereon, we show how this knowledge can be leveraged to optimise complex event queries and their processing.  ...  Complex event processing emerged as a technology that promises tight integration of business process management with the flow of products in a supply chain.  ...  Complex event processing (CEP) is the process of detecting complex events.  ... 
doi:10.1007/978-3-642-20511-8_67 fatcat:tpqw5rczbngyrek2ebxgcyr6wm

GRUVe: A Methodology for Complex Event Pattern Life Cycle Management [chapter]

Sinan Sen, Nenad Stojanovic
2010 Lecture Notes in Computer Science  
Our approach is based on a semantic representation of events and complex event patterns combined with complex event pattern execution statistics.  ...  However, today's management tasks in a Complex Event Processing system related to the management of complex event patterns are performed purely manually without any systematic methodology.  ...  Introduction Complex Event Processing (CEP) is the analysis of events from different event sources in near real-time in order to generate immediate insight and enable immediate response to changing business  ... 
doi:10.1007/978-3-642-13094-6_17 fatcat:ernimtiahrgiphxrrtxw64cozu

Knowledge-based processing of complex stock market events

Kia Teymourian, Malte Rohde, Adrian Paschke
2012 Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12  
In this paper, we describe a system for knowledge-based event detection of complex stock market events based on available background knowledge about stock market companies.  ...  Usage of background knowledge about events and their relations to other concepts in the application domain, can improve the quality of event processing.  ...  Complex Event Processing to store all of the background knowledge in knowledge bases and start polling the knowledge base, every time when a new event comes into the system, and then process the result  ... 
doi:10.1145/2247596.2247674 dblp:conf/edbt/TeymourianRP12 fatcat:hvldpv7qtjaqhaivcpzblx5azi

A framework to leverage domain expertise to support novice users in the visual exploration of Home Area Networks

Yuqian Song, J. Keeney, O. Conlan
2012 2012 IEEE Network Operations and Management Symposium  
This research proposes a semantic approach by using domain expert knowledge to enable real time semantic up-lift in supporting novice end-users to understand and control the complex dynamic systems they  ...  A key challenge lies in assisting non-expert users to express their requirements of an obscure and complex system.  ...  The events in the event pool are then maintained for use in the management process. 2) HAN management Process Driven by the domain knowledge model, the event analysis engine reviews all the events in the  ... 
doi:10.1109/noms.2012.6211953 dblp:conf/noms/SongKC12 fatcat:o2uhheuzozc43emsml6qh4w2lu

Event-Driven Exception Handling for Software Engineering Processes [chapter]

Gregor Grambow, Roy Oberhauser, Manfred Reichert
2012 Lecture Notes in Business Information Processing  
To alleviate this problem, a dynamic exception handling approach for software engineering processes is presented that incorporates event detection and processing facilities and semantic classification  ...  The environment is sufficiently dynamic that unforeseen situations can occur due to various events that lead to potential aberrations and process governance issues.  ...  Event Processing: Complex Event Processing (CEP) is applied in this module utilizing the tool esper [16] .  ... 
doi:10.1007/978-3-642-28108-2_40 fatcat:kmshzz7tkrhlbnwzi6r23z7tda

Visual Semantic Multimedia Event Model for Complex Event Detection in Video Streams [article]

Piyush Yadav, Edward Curry
2020 arXiv   pre-print
In this work, we present a visual event specification method to enable complex multimedia event processing by creating a semantic knowledge representation derived from low-level media streams.  ...  Middleware systems such as complex event processing (CEP) mine patterns from data streams and send notifications to users in a timely fashion.  ...  CEP systems the event model is well-defined, and their process models have fixed rules and operators to detect complex events.  ... 
arXiv:2009.14525v1 fatcat:wj4c2ild7ferliv4dxpkqcld4u

Towards a Scalable and Optimised Context Broker for Seamless Interoperability within IoT Systems

C.B. Tokpo Ovengalt, K. Djouani, A.M. Kurien, A. Chibani
2016 Procedia Computer Science  
The complexity of handling large volumes of streaming data increases in the presence of uncertainty caused by incomplete, altered, noisy and/or unstructured information.  ...  The introduction of semantics has been a key enabler towards proper and universal descriptions of connected objects as well as the relationship between them, removing relational ambiguities and improving  ...  VIATRA-CEP uses the VIATRA Event Processing Language (VEPL) for the detection of complex event patterns.  ... 
doi:10.1016/j.procs.2016.08.016 fatcat:r5mfwxyayrdsviv5mutkdyurzi

Context-Aware and Process-Centric Knowledge Provisioning: An Example from the Software Development Domain [chapter]

Gregor Grambow, Roy Oberhauser, Manfred Reichert
2015 Intelligent Systems Reference Library  
Thereafter, a practical solution approach based on the Contextaware Software Engineering Environment Event-driven framework (Co-SEEEK) is presented.  ...  Subsequently, it is shown how automated knowledge provisioning within processes, contextual adaptation of processes, and collaborative process support can be realized.  ...  Therefore, to produce events with more semantic value and not burden the event system with numerous micro events, the complex event processing (CEP) [54] tool Esper [55] is applied to create higherlevel  ... 
doi:10.1007/978-3-662-47827-1_8 fatcat:qlpdtfzymbf4lpwf5y4sy62ory

An Approach for More Efficient Energy Consumption Based on Real-Time Situational Awareness [chapter]

Yongchun Xu, Nenad Stojanovic, Ljiljana Stojanovic, Darko Anicic, Rudi Studer
2011 Lecture Notes in Computer Science  
Semantics allows a proper contextualization of the sensor data (i.e. its abstract interpretation), whereas complex event processing enables the efficient real-time processing of sensor data and its logic-based  ...  In this paper we present a novel approach for achieving energy efficiency in public buildings (especially sensor-enabled offices) based on the application of intelligent complex event processing and semantic  ...  Hence a rule-based approach enables a high abstraction level and a uniform framework for realizing knowledge-based CEP applications (i.e., specification of complex event patterns, contextual knowledge,  ... 
doi:10.1007/978-3-642-21064-8_19 fatcat:pe3aienw55gbxd65oajrfnuw3a

Knowledge management for the analysis of complex experimentation

R. Maule, G. Schacher, S. Gallup
2002 Internet Research  
Knowledge management, Artificial intelligence, Knowledge-based systems Government agencies carry out many events each year designed to determine future requirements and capabilities.  ...  Described are the information architecture of the system, the knowledge processing methodologies, and the structure of the thematic data sets that form the knowledge ontologies.  ...  Once operable, these systems help enable network-centric operations and shared understanding that is based on both dynamic and historical, contextual knowledge.  ... 
doi:10.1108/10662240210447173 fatcat:4fn3rnrr65cvzkdhgqoq6ehglu


2005 Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics  
Knowledge Management Systems (KMS) are important tools by which organizations can better useinformation and, more importantly, manage knowledge.  ...  Semantic approaches alloweasier and more efficient training, maintenance, and support knowledge.  ...  Based on its fuzzy state and these inputs, the CESA generates enable command input events to the CPA CES k e 0 ∈E CES,0 .  ... 
doaj:0d91f8ff7f2549b5ac1f9e3836481a3c fatcat:geeuq3kiqnc3zhckag6jz7vfia

Towards Ontology-Based Event Processing [chapter]

Riccardo Tommasini, Pieter Bonte, Emanuele Della Valle, Erik Mannens, Filip De Turck, Femke Ongenae
2017 Lecture Notes in Computer Science  
In this paper, we present an Ontology Based Event Processing system that bridges the gap between ontology-based reasoning and event processing.  ...  This allows to perform e cient temporal reasoning, while the high-level ontological definitions reduce the need for knowledge of the underlying data structure in complex domains.  ...  Event processing and SR is enabled over RDF Basic Graph Pattern (BGP). Complex events are defined as BGPs combined with event processing operators.  ... 
doi:10.1007/978-3-319-54627-8_9 fatcat:srersvmyfzf6fc2q2ic7hcaiui

Taking advantage of emergence for complex innovation eco-systems

Deborah Dougherty
2017 Journal of Open Innovation: Technology, Market and Complexity  
Eco-system participants use learning events, which represent available knowledge, to hypothesize new value creating opportunities and new kinds of governance structures for specific collaborations, evaluate  ...  Innovators in complex eco-systems must take advantage of the emergence of knowledge about sciences, technologies, user needs, delivery systems and so on for their new products and programs, because knowledge  ...  The portfolio enables participants to understand, anticipate, and attempt to control their complex innovations using abductive learning routines to build on available knowledge, generate new knowledge  ... 
doi:10.1186/s40852-017-0067-y fatcat:psxbbjx26nberntbj6tksla6ua
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