Paper Info
Title
A foundational ontology-based model for human activity representation in smart homes.
Abstract
Human activity detection within smart home (SH) is one of the basis of unobtrusive wellness monitoring of a rapidly aging population in developed countries. Most works in this area use the concept of "activity" as the building block with which to construct applications such as healthcare monitoring or ambient assisted living. This paper presents a model for human activity representation. The model has been developed by using the NeON methodology. The proposed human activity model consists of a network of ontologies classified in three categories: user ontologies, SH context ontologies and ADL ontologies, supporting user modelling, SH context modelling and ADL modeling, respectively. Furthermore, the formal definition of the main concepts and properties as well as a proof-of-concept ontology evaluation with a specification scenario are presented. The adoption of DOLCE+DnS Ultralite (DUL) ontology as an upper ontology aims to achieve a high degree of reusability and interoperability within heterogeneous smart home applications.
Year
DOI
Venue
2016
10.3233/AIS-150359
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
Keywords
Field
DocType
Activity modelling,ontology,semantic interoperability,smart homes,e-health services
Ontology (information science),Ontology,Computer science,Interoperability,Home automation,Formal description,Human–computer interaction,Context modelling,Upper ontology,Reusability
Journal
Volume
Issue
ISSN
8
1
1876-1364
Citations 
PageRank 
References 
12
0.57
21
Authors
3
Name
Order
Citations
PageRank
qin ni1653.35
Iván Pau de la Cruz2253.75
Ana-Belén García-Hernando3160.98