Due to the increase in surveillance systems, there is a massive increase in surveillance
data. As of now, the key challenge for video surveillance systems is analyzing these large …

We present iKnow, an ontology-driven framework for semantic situation understanding in
pervasive multi-sensor environments for human activity recognition. iKnow capitalises on the …

In this paper we describe MetaQ, an ontology-based hybrid framework for activity
recognition in Ambient Assisted Living (AAL) environments that combines SPARQL queries …

Human behavior recognition is one of the significant components of Ambient Assisted Living
(AAL) systems and personal assistive robots allowing to improve the quality of their lives in …

To survive in dynamic markets and meet the changing requirements, manufacturing
companies must rapidly design new production systems and reconfigure existing ones. The …

In current business and enterprise environment, the most common processes are structured
and well-documented, but there is another important category of processes, also referred to …

New advancements in pervasive computing technology have turned smart homes into a
daily living monitoring tool increasingly used for elderly. Recently, using knowledge driven …

Abstract Representation and reasoning about context information is a main research area in
Ambient Intelligence (AmI). Context modeling in such applications is facing openness and …

We propose a knowledge-driven activity recognition and segmentation framework
introducing the notion of context connections. Given an RDF dataset of primitive …

Fast reaction to changing requirements is a pre-requisite for modern manufacturing
companies and their facilities. One enabler for such responsiveness is tools that can support …