Knowledge representation for a neuro-symbolic network in home care risk identification

Author

Qadeer, Nauman ; Velik, Rosemarie ; Zucker, Gerhard ; Boley, Harold

Author_Institution

Inst. of Comput. Technol., Vienna Univ. of Technol., Vienna, Austria

fYear

2009

fDate

23-26 June 2009

Firstpage

277

Lastpage

282

Abstract

Risk identification in home care is a key issue in ambient assisted living today. This paper introduces a bionic approach to risk identification in home care based on simple, inexpensive and diverse sensors. Neuro-symbolic perception combines characteristics of neural and symbolic information processing. We represent knowledge relevant for home care as an ontology and apply this knowledge in a neuro-symbolic network to identify risks. A top-level ontology about the assisted living of elderly people is proposed as part of a use case for risk identification in home care.

Keywords

building management systems; home automation; knowledge representation; medical computing; ontologies (artificial intelligence); risk management; building automation; elderly people; home care risk identification; knowledge representation; neuro-symbolic network; neuro-symbolic perception; Automatic control; Biomedical monitoring; Computer networks; Data processing; Electronic mail; Humans; Information processing; Knowledge representation; Ontologies; Senior citizens; Ambient assisted living; Home care; Knowledge Representation; Neuro-Symbolic Perception; Ontologies; Risk identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on

Conference_Location

Cardiff, Wales

ISSN

1935-4576

Print_ISBN

978-1-4244-3759-7

Electronic_ISBN

1935-4576

Type

conf

DOI

10.1109/INDIN.2009.5195817

Filename

5195817