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Published on: July 27, 2018
Ambient intelligence governance review: from service-oriented to self-service
Victor Ponce1, Bessam Abdulrazak1
1Ambient Intelligence Lab (AMI-Lab), Université de Sherbrooke, Sherbrooke, Quebec, Canada.
This study analyzes ambient intelligence (AmI) system governance, focusing on service-oriented architecture (SOA). It reviews existing designs and trends for context-aware systems, identifying challenges and future research directions for smart environments.
Area of Science:
- Computer Science
- Artificial Intelligence
- Ubiquitous Computing
Background:
- Connected devices and the Internet of Things enhance human capabilities via ambient intelligence (AmI).
- AmI systems utilize available services and artificial intelligence for context awareness and user support.
- Service architecture styles facilitate distributed capabilities and interoperability in AmI systems.
Purpose of the Study:
- To systematically review and analyze ambient system governance.
- To use service-oriented architecture (SOA) as a reference model for this analysis.
- To identify existing governance designs, characteristics, and trends in context-aware service integration.
Main Methods:
- Systematic mapping process applied to research databases.
- Screening of 712 papers, with 198 selected for initial review.
- Categorization of 68 relevant papers from 48 research projects adhering to AmI and SOA principles.
Main Results:
- Analysis of existing governance designs within AmI systems.
- Distribution of adopted characteristics in AmI governance.
- Identification of trends in integrating services into context-aware processes.
Conclusions:
- The study provides a comprehensive overview of ambient intelligence system governance.
- It highlights the increasing incorporation of service-oriented principles in context-aware systems.
- Identified challenges and future research directions for advancing AmI governance are discussed.
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