Unified modeling of quality of context and quality of situation for context-aware applications in the internet of things

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

Abstract

This paper discusses the requirements of situation identification in the Internet of Things and the necessity to consider the quality of the input context data during the inference process for deriving a situation and evaluating its resulting quality. We propose to extend previous works by integrating the QoCIM meta-model within the muSIC framework dedicated to situation identification. Situation identification is derived using an ontological approach and Quality criteria are aggregated using the fuzzy Choquet operator for computing the quality of a situation. This paper shows that QoCIM allows to model quality of context (QoC) as well as quality of situation in a unified approach.

Original languageEnglish
Title of host publicationModeling and Using Context - 10th International and Interdisciplinary Conference, CONTEXT 2017, Proceedings
EditorsCarlo Penco, Patrick Brezillon, Roy Turner
PublisherSpringer Verlag
Pages370-374
Number of pages5
ISBN (Print)9783319578361
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event10th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2017 - Paris, France
Duration: 20 Jun 201723 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10257 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2017
Country/TerritoryFrance
CityParis
Period20/06/1723/06/17

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