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dc.contributor.authorKhoozani, Ehsan
dc.contributor.authorHadzic, Maja
dc.date.accessioned2017-01-30T13:32:57Z
dc.date.available2017-01-30T13:32:57Z
dc.date.created2011-03-20T20:01:51Z
dc.date.issued2010
dc.identifier.citationKhoozani, Ehsan Nasiri and Hadzic, Maja. 2010. Designing the human stress ontology: A formal framework to capture and represent knowledge about human stress. Australian Psychologist. 45 (4): pp. 258-273.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/32763
dc.identifier.doi10.1080/00050061003664811
dc.description.abstract

A large number of papers have been published on the topic of human stress. There is a need to organise this knowledge under a unifying framework, linking and analysing it in mutual combinations so that new knowledge can emerge. Ontology is an enriched conceptual model for representing domain knowledge. An ontology can be designed to provide a framework for knowledge about human stress. This agreed knowledge model will facilitate knowledge sharing and communications. Additionally, ontologies are machine-readable and can enable automated programs such as data mining to intelligently access and analyse information. The purpose of this paper is to discuss and explain some of the common stress-related terms, their definitions, classifications and possible interrelations between them. A top-layer of the human stress ontology (HSO) model is presented, which will continue to evolve as more research contributions and knowledge become available. It is believed that this framework can be used to build powerful tools to assist researchers and therapists in evaluating stress and facilitating their communication in both research and clinical spaces.

dc.publisherTaylor and Francis Ltd
dc.subjectstress
dc.subjecttaxonomy
dc.subjectontology
dc.subjectHuman stress ontology
dc.titleDesigning the human stress ontology: A formal framework to capture and represent knowledge about human stress
dc.typeJournal Article
dcterms.source.volume45
dcterms.source.number4
dcterms.source.startPage258
dcterms.source.endPage273
dcterms.source.issn0005-0067
dcterms.source.titleAustralian Psychologist
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


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