Paper Info
Title
Quality Parameters as Modeling Language Abstractions for Context-Aware Applications: An AAL Case Study.
Abstract
The quality of context information is still one of the most overlooked factors by developers and end-users, and this makes context-aware applications less reliable. While there is recent work in this area that focuses on identifying and modeling relevant quality parameters for context information, software developers still have not yet adopted these solutions at large because they do not offer the right set of abstractions that they are familiar with. This paper presents model and language constructs, as well as software engineering tools to address these quality of context concerns. We demonstrate our overarching solution on a non-trivial Ambient Assisted Living scenario involving assistance services for the elderly supported by indoor localization technologies.
Year
DOI
Venue
2017
10.1007/978-3-319-57837-8_46
Lecture Notes in Artificial Intelligence
Field
DocType
Volume
Abstraction,Computer science,Language construct,Modeling language,Software,Artificial intelligence,Natural language processing
Conference
10257
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
José Ramón Hoyos1382.58
Davy Preuveneers270565.56
jesus garcia molina350739.57