Paper Info
Title
Unified Modeling of Quality of Context and Quality of Situation for Context-Aware Applications in the Internet of Things.
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.
Year
DOI
Venue
2017
10.1007/978-3-319-57837-8_30
Lecture Notes in Artificial Intelligence
Field
DocType
Volume
Ontology,World Wide Web,Web of Things,Computer science,Inference,Fuzzy logic,Internet of Things,Model quality,Operator (computer programming)
Conference
10257
ISSN
Citations 
PageRank 
0302-9743
1
0.37
References 
Authors
6
5
Name
Order
Citations
PageRank
Chabridon, S.113818.95
Amel Bouzeghoub219733.26
Anis Ahmed-Nacer310.37
Pierrick Marie4253.77
Thierry Desprats57116.66