BOOK-CHAPTER

Organizing Contextual Data in Context Aware Systems

Umar Mahmud

Year: 2016 Advances in human and social aspects of technology book series Pages: 273-303   Publisher: IGI Global

Abstract

Context aware systems strive to facilitate better usability through advanced devices, interfaces and systems in day to day activities. These systems offer smart service discovery, delivery and adaptation all based on the current context. A context aware system must gather the context prior to context inference. This gathered context is then stored in a tagged, platform independent format using Extensible Markup Language (XML) or Web Ontology Language (OWL). The hierarchy is enforced for fast lookup and contextual data organization. Researchers have proposed and implemented different contextual data organizations a large number of which has been reviewed in this chapter. The chapter also identifies the tactics of contextual data organizations as evident in the literature. A qualitative comparison of these structures is also carried out to provide reference to future research.

Keywords:
Computer science Context (archaeology) World Wide Web Ontology Usability Contextual design XML Hierarchy Adaptation (eye) Markup language Context model Data science Information retrieval Human–computer interaction Artificial intelligence

Metrics

7
Cited By
0.13
FWCI (Field Weighted Citation Impact)
86
Refs
0.47
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Robotics and Automated Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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