JOURNAL ARTICLE

Adaptation platform for autonomic context-aware services

Abstract

Most context-aware services are not autonomic because of two main reasons. The first one is that a context-aware service reacts only to context states that are entirely predicted by the developer. The second reason is that the adaptation control is based on predefined, application and context-specific policies. In this paper we propose a solution based on an application-context description, which allows the machine to autonomously discover the context structure and the adaptation strategies. We have tested our model using a simple scenario where a forum service is adapted to the user language.

Keywords:
Adaptation (eye) Context (archaeology) Computer science Service (business) Context awareness Context model Ubiquitous computing Human–computer interaction World Wide Web Simple (philosophy) Control (management) Artificial intelligence Psychology Business

Metrics

4
Cited By
1.59
FWCI (Field Weighted Citation Impact)
15
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Advanced Software Engineering Methodologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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