Towards cognitive cities in the energy domain
Current cities address efficiency challenges for optimizing the use of limited resources. City
sustainability and resilience must also be improved through new learning and cognitive …
sustainability and resilience must also be improved through new learning and cognitive …
Introducing distributed dynamic data‐intensive (D3) science: Understanding applications and infrastructure
A common feature across many science and engineering applications is the amount and
diversity of data and computation that must be integrated to yield insights. Datasets are …
diversity of data and computation that must be integrated to yield insights. Datasets are …
An event abstraction layer for the integration of geosensor data
Time series of observations reflect the status of environmental properties. Variations in these
properties can be considered as events when they potentially affect the stability of the …
properties can be considered as events when they potentially affect the stability of the …
Incorporating semantic knowledge into dynamic data processing for smart power grids
Q Zhou, Y Simmhan, V Prasanna - The Semantic Web–ISWC 2012: 11th …, 2012 - Springer
Semantic Web allows us to model and query time-invariant or slowly evolving knowledge
using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power …
using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power …
Data-centric publish-subscribe approach for Distributed Complex Event Processing deployment in smart grid Internet of Things
X Zu, Y Bai, X Yao - 2016 7th IEEE International Conference on …, 2016 - ieeexplore.ieee.org
Smart grid is an important application of Internet Of Things (IOT). Monitoring data in large-
scale smart grid are massive, real-time and dynamic that collected by a lot of sensors …
scale smart grid are massive, real-time and dynamic that collected by a lot of sensors …
Ltcep: Efficient long-term event processing for internet of things data streams
Complex event processing has been widely adopted in different domains, from large-scale
sensor networks, smart home, trans-portation, to industrial monitoring, providing the ability of …
sensor networks, smart home, trans-portation, to industrial monitoring, providing the ability of …
A Framework for Knowledge-Based Complex Event Processing
K Teymourian - 2014 - refubium.fu-berlin.de
Diese Dissertation beschäftigt sich mit der Fragestellung der Nutzung von
Hintergrundwissen zur Ermöglichung wissensbasierter Ereignisverarbeitung. Der Einsatz …
Hintergrundwissen zur Ermöglichung wissensbasierter Ereignisverarbeitung. Der Einsatz …
Enabling semantic complex event processing in the domain of logistics
T Metzke, A Rogge-Solti, A Baumgrass… - … Conference on Service …, 2013 - Springer
During the execution of business processes, companies generate vast amounts of events,
which makes it hard to detect meaningful process information that could be used for process …
which makes it hard to detect meaningful process information that could be used for process …
Semantic enrichment of event stream for semantic situation awareness
K Teymourian, A Paschke - Semantic Web: Implications for Technologies …, 2015 - Springer
In today's business processes, complex issues happen in real time. One of the crucial
success factors is the timely delivery of information to trigger reactions to potential …
success factors is the timely delivery of information to trigger reactions to potential …
OntoEvent: An ontology-based event description language for semantic complex event processing
M Ma, P Wang, J Yang, C Li - … , WAIM 2015, Qingdao, China, June 8-10 …, 2015 - Springer
In this paper, we propose an ontology-based event description language, OntoEvent, for
semantic event modeling in CEP system. In OntoEvent language, complex events are …
semantic event modeling in CEP system. In OntoEvent language, complex events are …