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Journal ArticleDOI

Context-aware systems

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TLDR
The goal of this paper is to review the works that were published in journals, suggest a new classification framework of context-aware systems, and explore each feature of classification framework using a keyword index and article title search.
Abstract
Nowadays, numerous journals and conferences have published articles related to context-aware systems, indicating many researchers' interest. Therefore, the goal of this paper is to review the works that were published in journals, suggest a new classification framework of context-aware systems, and explore each feature of classification framework. This paper is based on a literature review of context-aware systems from 2000 to 2007 using a keyword index and article title search. The classification framework is developed based on the architecture of context-aware systems, which consists of the following five layers: concept and research layer, network layer, middleware layer, application layer and user infrastructure layer. The articles are categorized based on the classification framework. This paper allows researchers to extract several lessons learned that are important for the implementation of context-aware systems.

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Citations
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Ambient-aware continuous care through semantic context dissemination

TL;DR: The aim of the presented research is the design of a pervasive and scalable framework that is able to optimize continuous care processes by intelligently reasoning on the large amount of heterogeneous care data.
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Dynamic Social and Media Content Syndication for Second Screen

TL;DR: SAM as discussed by the authors is an innovative platform that combines social media, content syndication and targets second screen usage to enhance media content provisioning, renovate the interaction with end-users and enrich their experience.
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Hybrid approach for selective delivery of information streams in data-intensive monitoring systems

TL;DR: It is expected that the proposed approach is able to make monitoring systems personal oriented and thus safer during the operation, and the results of the performance tests suggest feasibility of the approach for such systems as building and home automation, and non-critical industrial automation.
Proceedings ArticleDOI

RECON: An Adaptive Human-Machine System for Supporting Intelligence Analysis

TL;DR: The proposed system, RECON, will contribute a new architecture based on five core components that form the basis of an adaptive system that will advance toward a powerful future intelligence analysis capability.
Book ChapterDOI

Towards Context-Aware Supervision for Logistics Asset Management: Concept Design and System Implementation

TL;DR: An intelligent system with integration of semantic web and agent technology is developed, which aims at providing condition-monitoring and maintenance decisions to relevant user in context-aware supervision of a large-scale material handling system-belt conveying system.
References
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Journal ArticleDOI

A translation approach to portable ontology specifications

TL;DR: This paper describes a mechanism for defining ontologies that are portable over representation systems, basing Ontolingua itself on an ontology of domain-independent, representational idioms.
Journal ArticleDOI

Understanding and Using Context

TL;DR: An operational definition of context is provided and the different ways in which context can be used by context-aware applications are discussed, including the features and abstractions in the toolkit that make the task of building applications easier.
Proceedings ArticleDOI

Context-Aware Computing Applications

TL;DR: This paper describes systems that examine and react to an individual's changing context, and describes four catagories of context-aware applications: proximate selection, automatic contextual reconfiguration, contextual information and commands, and contex-triggered actions.
Book

Pattern-oriented Software Architecture: A System of Patterns

TL;DR: Patterns.

OWL Web Ontology Language - Reference

TL;DR: This document contains a structured informal description of the full set of {owL} language constructs and is meant to serve as a reference for {OWL} users who want to construct {OWl} ontologies.