JOURNAL ARTICLE

Supporting Context-Aware Mobile Service Adaptation with Scalable Context Discovery Platform

Abstract

Context-aware mobile service can seamlessly adapt to the environment with minimal user distraction. A major challenge in the adaptation procedure is to locate the desired context information. Such process is called context discovery. It is noticed that previous work has not addressed thoroughly the issue of context discovery beyond smart space boundaries, but focused mainly on local space discovery. In this paper, we propose a wide-area context discovery platform, called "Orion". Orion employs peer-to-peer system techniques to link the distributed context gateway (CG) into Orion network (ONet), which enables context queries to be forwarded from space to space. ONet is partitioned into semantic community (SeCOM) according to the semantic classification of context, such that context queries are routed only to the appropriate SeCOM which is able to resolve them.

Keywords:
Computer science Service discovery Scalability Context (archaeology) Context awareness World Wide Web Service (business) Ubiquitous computing Business process discovery Mobile computing Process (computing) Computer network Web service Human–computer interaction Database Work in process Business process Geography Engineering

Metrics

14
Cited By
2.55
FWCI (Field Weighted Citation Impact)
26
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Opportunistic and Delay-Tolerant Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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