JOURNAL ARTICLE

Ontology-based context modeling for user-centered Context-aware Services Platform

Abstract

Pervasive computing world composed of plethora of devices using different technologies, resources, connectivity capabilities; and these devices or associated applications meet difficulties in interpreting and integrating knowledge or context information coming from different sources. To tackle this problem, we have developed a middleware architecture called Context-aware Service Platform or CASP, to relieve the context-aware services from the burden of integrating, managing and querying context information from various sources. In this paper, we briefly introduce our context-aware middleware framework; this is followed by detailed descriptions on the context modeling approach based on ontology and the integration of the ontology-based information model into our platform. Following this, we present how the captured raw data are populated on our context model, and relevant contexts can be queried via the Context Query API.

Keywords:
Computer science Ontology Middleware (distributed applications) Context model Context (archaeology) World Wide Web Ubiquitous computing Context awareness Data science Service (business) Context management Raw data Software engineering Database Human–computer interaction Artificial intelligence Programming language

Metrics

17
Cited By
1.18
FWCI (Field Weighted Citation Impact)
18
Refs
0.84
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
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
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