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Enabling knowledge-based complex event processing
2010
Proceedings of the 1st International Workshop on Data Semantics - DataSem '10
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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
unpublished
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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. ...
fatcat:cxyswyu7fjchdgvxkgf4suptbq
Optimising Complex Event Queries over Business Processes Using Behavioural Profiles
[chapter]
2011
Lecture Notes in Business Information Processing
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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]
2010
Lecture Notes in Computer Science
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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
2012
Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12
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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
2012
2012 IEEE Network Operations and Management Symposium
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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]
2012
Lecture Notes in Business Information Processing
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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]
2020
arXiv
pre-print
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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
2016
Procedia Computer Science
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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]
2015
Intelligent Systems Reference Library
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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]
2011
Lecture Notes in Computer Science
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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
2002
Internet Research
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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
SOME CONCEPTUAL PROPERTIES FOR KNOWLEDGE MANAGEMENT SYSTEMS DESIGN
2005
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
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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]
2017
Lecture Notes in Computer Science
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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
2017
Journal of Open Innovation: Technology, Market and Complexity
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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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