Abstract

In services oriented computing, location or spatial models are required to model the domain environment whenever location or spatial relationships are utilised by users and/or services. This research presents an ontology-based methodol-ogy for context-aware messaging service. There are five main contributions to this research. First, the research provides a service oriented methodology for modelling and building context-aware messaging systems based on ontological principles. Second, it describes a method that assists understanding the domain’s spatial environment. Third, it includes a proposal of the generic Mona-ServOnt core service ontology that offers context-aware reasoning for capture and use of context. Mona-ServOnt is able to support the deployment of context-aware messaging services in both indoor and outdoor environments. Fourth, a novel generic architecture that captures the requirements for context-aware messaging services is given. Fifth, the generic messaging protocols that describe the exchange of messages within context-aware mes-saging services is modelled. A few experiments were completed to measure the performance of the peer-to-peer services using actual smartphone with Bluetooth capability. In addition, the methodology’s main steps have been validated individually in various context-aware messaging domains. It has been evaluated using competency questions that gauge the scope of the proposed ontology. Furthermore, the generic architecture and messaging protocols have been verified in constructing for each domain.

Highlights

  • Service-oriented technology is moving beyond the personal computer to everyday mobile devices

  • We propose a service-oriented methodology for building context-aware messaging services called Context-Aware Messaging Service Methodology Based on Ontology (CAMSMBO)

  • We develop Mona-ServOnt core service ontology, a general service ontology that can be applied in several context-aware messaging domains

Read more

Summary

Introduction

Service-oriented technology is moving beyond the personal computer to everyday mobile devices. Pervasive computing is currently powered by services oriented computing [2] aims to develop intelligent applications that understand the available context information and respond with the best services. These applications are known as contextaware services. Pervasive services have reasoning functions to recognise the semantic significance of the collected information and perform the appropriate action. They possess several types of procedures to handle simple and complex activities. The main feature of pervasive services is the application of their services in multiple environments

Objectives
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call