JOURNAL ARTICLE

ODM-based modeling for user-centered context-aware mobile applications

Abstract

Context-aware development has been an emergent subject of many researches in ubiquitous computing. Despite different approaches for context modeling, we notice that there is still no consensus and their context models are either incomplete or domain specific. This paper aims to synthesize these approaches and proposes a context model which should be general to be used by different user-centered mobile applications, specific to cover the main contextual entities proposed in the literature, flexible to allow an extension and to take into account new entities specific to a given application domain. To fulfill these requirements, we adopt an ODM (Ontology Definition Meta model) approach. The principal objective of the ODM is to bridge the gap between traditional software tools for modeling and artificial intelligence techniques for making ontologies. Using such an approach is possible to create a high level modeling and benefit from all the advantages of both spaces.

Keywords:
Computer science Ontology Context model Context (archaeology) Domain (mathematical analysis) Bridge (graph theory) Notice Software engineering Data science Artificial intelligence

Metrics

3
Cited By
0.52
FWCI (Field Weighted Citation Impact)
37
Refs
0.70
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
Opportunistic and Delay-Tolerant Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
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