Authors:
Ehsan Nasiri Khoozani
and
Maja Hadzic
Affiliation:
Curtin University of Technology, Australia
Keyword(s):
Human Stress, Ontology, Human Stress Ontology (HSO).
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cardiovascular Technologies
;
Cloud Computing
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
e-Business
;
e-Health
;
Enterprise Information Systems
;
Expert Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Integration/Interoperability
;
Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Medical and Nursing Informatics
;
Ontologies and the Semantic Web
;
Platforms and Applications
;
Semantic Interoperability
;
Sensor Networks
;
Simulation and Modeling
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
A large number of articles exist that discuss and define various concepts, terms, and theories relating to human stress. The heterogeneous and dynamic nature of this knowledge, and the growing research, highlight the need and significance of designing a coherent and sharable ontology framework for human stress domain. In response to this need, we design Human Stress Ontology (HSO) to capture stress-related concepts and their relationships in an agreed and machine readable framework. This ontology is organized according to the following five sub-ontologies: causes, mediators, effects, treatments and measurements. Development of an ontology in this field will facilitate interoperability between different information systems and enable the design of ontology-driven software programs tools and semantic web engines for intelligent access, management, retrieval and analysis of stress-related information. The derived knowledge will help identify important relationships between different con
cepts, and facilitate invention of more valid and consensual psychological tests and development of effective prevention and treatment strategies.
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