A Unified Context Model: Bringing Probabilistic Models to Context Ontology

Abstract. Ontology is a promising tool to model and reason about context information in pervasive computing environment. However, ontology does not support representation and reasoning about uncertainty. Besides, the underlying rule-based reasoning mechanism of current context-aware systems obviously can not reason about ambiguity and vagueness in context information. In this paper, we present an ongoing research on context modeling which follows the ontology-based approach while supports representation and reasoning about uncertain context. This unified context model then is used as a framework in our implementation of the context management and reasoning module of our context-aware middleware for ubiquitous systems.

• Type: Conference
• Year: 2005
• Where: EUC
• Authors: Binh An Truong, Young-Koo Lee, Sungyoung Lee
• Keywords: Context Information, EUC 2005, Reasoning, Rule-based Reasoning Mechanism