A fuzzy semantic CEP model for situation identification in smart homes

Amina Jarraya, Nathan Ramoly, Amel Bouzeghoub, Khedija Arour, Amel Borgi, Béatrice Finance

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Uncertainty is an essential issue for smart home applications. Events generated from sensors can be outdated, inaccurate, imprecise or in contradiction with other ones. These unreliable data can lead to dysfunction in smart home applications. To tackle these challenges, we propose a new model named FSCEP (Fuzzy Semantic Complex Event Processing) that integrates fuzzy logic paradigm, semantic features through an ontology and traditional CEP. We confronted FSCEP with other works tackling uncertainty for CEP and experimented it through simulation with early but promising result.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
EditorsGal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hullermeier, Virginia Dignum, Frank Dignum, Frank van Harmelen
PublisherIOS Press BV
Pages1678-1679
Number of pages2
ISBN (Electronic)9781614996712
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes
Event22nd European Conference on Artificial Intelligence, ECAI 2016 - The Hague, Netherlands
Duration: 29 Aug 20162 Sept 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume285
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference22nd European Conference on Artificial Intelligence, ECAI 2016
Country/TerritoryNetherlands
CityThe Hague
Period29/08/162/09/16

Fingerprint

Dive into the research topics of 'A fuzzy semantic CEP model for situation identification in smart homes'. Together they form a unique fingerprint.

Cite this