JOURNAL ARTICLE

Using a software process for ontology-based context-aware computing

Abstract

While research in context-aware computing has produced useful results, few software engineering solutions for context-aware computing have been reported. Building upon concepts of the Semantic Web, the POCAp software process is an alternative towards supporting the development of ontology-based context-aware applications. In order to demonstrate the use of POCAp, we present a case study of a Web-based recommender system extended with an OWL-based context model and a semantic-enabled software infrastructure. Using POCAp, developers can take advantage of the organization and the dependence between POCAp activities, mainly from those intended to the application's context model as well as the services for processing that model.

Keywords:
Computer science Ontology Context (archaeology) Semantic Web Software engineering Process (computing) World Wide Web Context model Software OWL-S Social Semantic Web Artificial intelligence Programming language

Metrics

4
Cited By
0.60
FWCI (Field Weighted Citation Impact)
26
Refs
0.68
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
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Efficiency in Computing
Physical Sciences →  Computer Science →  Hardware and Architecture
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