Pervasive systems must offer an open, extensible, and evolving portfolio of services which
integrate sensor data from a diverse range of sources. The core challenge is to provide …

Context-aware computing enriches the capabilities of intelligent devices complemented with
smart applications and helps establish smart ecosystems in fields such as Ambient …

The advancement of wireless networks and mobile computing necessitates more advanced
applications and services to be built with context-awareness enabled and adaptability to …

This paper addresses a major weakness of current technologies for the Semantic Web,
namely the lack of a principled means to represent and reason about uncertainty. This not …

A key issue in the study of Ambient Intelligence is reasoning about context. The aim of
context reasoning is to deduce new knowledge, based on the available context data. The …

This paper describes an ontology-driven model, which integrates Bayesian Networks (BN)
into the Ontology Web Language (OWL) to preserve the advantages of both. This model …

Across a wide range of domains, there is an urgent need for a wellfounded approach to
incorporating uncertain and incomplete knowledge into formal domain ontologies. Although …

Bayesian semantics for the Semantic Web Bayesian semantics for the Semantic Web Abstract
Uncertainty is ubiquitous. Any representation scheme intended to model real-world actions and …

Smart Houses are a prominent field of research referring to environments adapted to assist
people in their everyday life. Older people and people with disabilities would benefit the …

Context-awareness has been recognized as an important enabler for pervasive computing.
Our aim is to provide a thorough survey of the state of the art in context representation and …