An Ontology-based Context-aware System for Smart Homes: E-care@home

  title={An Ontology-based Context-aware System for Smart Homes: E-care@home},
  author={Marjan Alirezaie and Jennifer Renoux and Uwe K{\"o}ckemann and Annica Kristoffersson and Lars Karlsson and Eva Blomqvist and Nicolas Tsiftes and Thiemo Voigt and Amy Loutfi},
  journal={Sensors (Basel, Switzerland)},
Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives… 

An ontology-based framework for a Less Invasive Domestic Management System (LIDoMS)

An ontology-based smart home framework, LIDoMS, aimed at focusing on inhabitants needs by providing a representation of their health conditions, while offering them customized services is introduced.

Context-Aware Multi-layered Ontology for Composite Situation Model in Pervasive Computing

Experimental results showed that the proposed approach has reduced queries times and improved flexibility, and enables to sense, reason, and infer composite situations in various smart domains, prioritizes critical situations and facilitates the delivery of smart mobile service.

Contribute for an Ontology for Smart Homes and their Conversational Assistants

The basis for an ontology to support both the interaction and the Smart Home knowledge base is proposed and is being used to support the creation of an enhanced version of a Conversational Assistant for the Smart Green Homes project with novel functionalities, aligned with advanced user needs and expectations.

Context Modelling in Ambient Assisted Living: Trends and Lessons

This chapter provides a review of context modelling approaches, with a focus on services offered in Ambient Assisted Living (AAL) systems for persons in need of care, and presents the characteristics of contextual information, services offered by AAL systems, as well as context and reasoning models that have been used to implement them.

Semantic Enrichment of Vital Sign Streams through Ontology-based Context Modeling using Linked Data Approach

This study aims to extend the existing ontology to allow patient health monitoring for the prevention, early detection, and mitigation of patient deterioration, and illustrated a proof-of-concept of ontology-based semantic representation of vital sign streams.

A semantic‐enabled and context‐aware monitoring system for the internet of medical things

This article introduces a semantic‐based context‐aware system (IoT Medicare system) for patient monitoring with MCOs based on a core domain ontology (HealthIoO‐O), designed to describe the semantic of heterogeneous M COs and their data.


In the proposed living process smart home design, we consider not only the control aspects, but also the contextualized interactions of the family members’ living processes that will affect the

Smart home reasoning systems: a systematic literature review

This paper characterizes the usage and application trends of different reasoning techniques in smart home domain, evaluates the major assumptions, strengths, and limitations of the proposed systems in the literature, and discusses the challenges of reasoning in ambient assisted living environments.

A Context Retrieval Method for Context-awareness Using Ontology-Based Approach in Internet of Things Environments

A context retrieval method is proposed that facilitates in obtaining context information for the context-aware system in IoT environments and provides an ontology-based mapping procedure for thecontext representation problem described above.

An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices

This article proposes an architecture for emotion aware automation platforms based on semantic event-driven rules to automate the adaptation of the workplace to the employee’s needs.



A Knowledge-Driven Approach to Activity Recognition in Smart Homes

This paper presents a generic system architecture for the proposed knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes, and describes the underlying ontology-based recognition process.

Reasoning for Improved Sensor Data Interpretation in a Smart Home

An ontological representation and reasoning paradigm has been proposed for interpretation of time-series signals that come from sensors observing a smart environment and is inspired form the SSN ontology (Semantic Sensor Network).

Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning

This is the first work that systematically investigates the integration of statistical and ontological reasoning for activity recognition, and the results of extensive experiments with data collected from sensors worn by a group of volunteers performing activities both indoor and outdoor show the superiority of the combined technique.

Web-based real-time remote monitoring for pervasive healthcare

  • Bingchuan YuanJ. Herbert
  • Computer Science, Medicine
    2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
  • 2011
The annotation of significant parts of the multi-modal monitored signals by the medical professional provides the basis for the automated intelligent analysis of the CARA system.

Ontology-based activity recognition in intelligent pervasive environments

A novel approach to activity recognition based on the use of ontological modeling, representation and reasoning, aiming to consolidate and improve existing approaches in terms of scalability, applicability and easy‐of‐use is introduced.

Context Aware Computing for The Internet of Things: A Survey

This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.

A Survey of Semantics-Based Approaches for Context Reasoning in Ambient Intelligence

This paper describes how each approach addresses the requirements of ambient environments, identify their limitations, and proposes possible future research directions for semantics-based approaches for reasoning about context.

Handbook of Ambient Intelligence and Smart Environments

The Handbook of Ambient Intelligence and Smart Environments is a comprehensive presentation of the latest developments in the burgeoning research area of ambient intelligence and smart environments, and examines the relative physical infrastructure of smart environments.

A semantic middleware for autonomic wireless sensor networks

A proposal that combines the benefits of autonomic and semantic sensor networks to build a semantic middleware for autonomic wireless sensor networks and a semantic-aware topology control based on computing semantic neighborhoods relationships is presented.