%0 Conference Proceedings
%T Bringing Complex Event Processing into Multitree Modelling of Sensors
%+ Laboratoire d'Informatique de Nantes Atlantique (LINA)
%+ Département Systèmes Réseaux, Cybersécurité et Droit du numérique (IMT Atlantique - SRCD)
%+ Objets communicants pour l'Internet du futur (OCIF)
%+ RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2)
%A Garnier, Alexandre
%A Menaud, Jean-Marc
%A Montavont, Nicolas
%< avec comité de lecture
%Z STACK_HCERES2020
%( Lecture Notes in Computer Science
%B 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS)
%C Heraklion, Crete, Greece
%Y Márk Jelasity
%Y Evangelia Kalyvianaki
%3 Distributed Applications and Interoperable Systems
%V LNCS-9687
%P 196-210
%8 2016-06-06
%D 2016
%R 10.1007/978-3-319-39577-7_16
%K Sensor networks
%K Domain-specific languages
%K Complex event processing
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X The recent advances in the Internet of Things allow deploying a large variety of applications for smart cities, home automation or the industry of the future. These applications generate a large amount of data that can be challenging to manage; identifying and parsing this data become a prominent problem. In order to address this issue, we propose a multitree model for the sensor representation which matches the need for heterogeneous applications and user support. From there, we define a complex event processor based on a new language and grammar, in order to filter and identify user specific events. We show that we considerably reduce the size of queries by focusing on end-users knowledges as semantics for data streams.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-01434795/document
%2 https://inria.hal.science/hal-01434795/file/416479_1_En_16_Chapter.pdf
%L hal-01434795
%U https://inria.hal.science/hal-01434795
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