An Ontology-based Context Model in Intelligent Environments

TL;DR

This paper introduces an ontology-based context model using OWL to improve semantic representation, reasoning, and sharing of context information in intelligent environments, facilitating the development of adaptive, context-aware services.

Contribution

It presents a formal ontology-based context model and a middleware architecture to enhance context reasoning and sharing in intelligent environments.

Findings

Enables semantic context representation and reasoning.

Supports context sharing and classification.

Improves development of context-aware services.

Abstract

Computing becomes increasingly mobile and pervasive today; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly dynamic environments. Today, building context-aware systems is a complex task due to lack of an appropriate infrastructure support in intelligent environments. A context-aware infrastructure requires an appropriate context model to represent, manipulate and access context information. In this paper, we propose a formal context model based on ontology using OWL to address issues including semantic context representation, context reasoning and knowledge sharing, context classification, context dependency and quality of context. The main benefit of this model is the ability to reason about various contexts. Based on our context model, we also present a Service-Oriented Context-Aware Middleware (SOCAM) architecture for building of context-aware services.