Indoor environmental quality (IEQ) affects occupants' satisfaction, health, productivity,
comfort, and well-being. IoT developments enable better monitoring of IEQ parameters; …

The working group Ontologies for Robotics and Automation, sponsored by the IEEE
Robotics & Automation Society, recently proposed a Core Ontology for Robotics and …

Recognising human activities is a problem characteristic of a wider class of systems in which
algorithms interpret multi-modal sensor data to extract semantically meaningful …

Pervasive systems present the need to interpret large quantities of data from many sources.
Context models support developers working with such data by providing a shared …

Location models play an important role in location-based services (LBSs), because LBSs
require a well-defined representation of location knowledge to support location browsing …

Location-based services (LBSs) play more and more important roles in our daily life with the
prevalence of mobile devices and the internet. Location modeling is a significant research …

Location is a core concept in most pervasive systems-and one that's surprisingly hard to
deal with flexibly. Using a location model supporting a range of expressive representations …

Unambiguous definition of spatial position and orientation has crucial importance for
robotics. In this paper we propose an ontology about positioning. It is part of a more …

We introduce a high-level abstraction of location called place. A place derives its meaning
from a user's physical space, activities, or social context. In this manner, place can facilitate …

Pervasive computing is typically highly sensor-driven, but sensors provide only evidence of
fact rather than facts themselves. The uncertainty of sensor data will affect each component …