Towards the mental health ontology
Lots of research have been done within the mental health domain, but exact causes of mental illness are still unknown. Concerningly, the number of people being affected by mental conditions is rapidly increasing and it has been predicted that depression would be the world's leading cause of dis...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers (IEEE) Computer Society
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/16576 |
| _version_ | 1848749216623493120 |
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| author | Hadzic, Maja Chen, Meifania Dillon, Tharam S. |
| author2 | X-W. Chen |
| author_facet | X-W. Chen Hadzic, Maja Chen, Meifania Dillon, Tharam S. |
| author_sort | Hadzic, Maja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Lots of research have been done within the mental health domain, but exact causes of mental illness are still unknown. Concerningly, the number of people being affected by mental conditions is rapidly increasing and it has been predicted that depression would be the world's leading cause of disabilityby 2020. Most mental health information is found in electronic form. Application of the cutting-edge information technologies within the mental health domain has the potential to greatly increase the value of the available information. Specifically, ontologies form the basis for collaboration between researchteams, for creation of semantic web services and intelligent multi-agent systems, for intelligent information retrieval, and for automatic data analysis such as data mining. In this paper, we present Mental Health Ontology which can be used to underpin a variety of automatic tasks and positively transform the way information is being managed and used within the mental health domain. |
| first_indexed | 2025-11-14T07:17:25Z |
| format | Conference Paper |
| id | curtin-20.500.11937-16576 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:17:25Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-165762022-11-21T06:47:07Z Towards the mental health ontology Hadzic, Maja Chen, Meifania Dillon, Tharam S. X-W. Chen S. Kim Lots of research have been done within the mental health domain, but exact causes of mental illness are still unknown. Concerningly, the number of people being affected by mental conditions is rapidly increasing and it has been predicted that depression would be the world's leading cause of disabilityby 2020. Most mental health information is found in electronic form. Application of the cutting-edge information technologies within the mental health domain has the potential to greatly increase the value of the available information. Specifically, ontologies form the basis for collaboration between researchteams, for creation of semantic web services and intelligent multi-agent systems, for intelligent information retrieval, and for automatic data analysis such as data mining. In this paper, we present Mental Health Ontology which can be used to underpin a variety of automatic tasks and positively transform the way information is being managed and used within the mental health domain. 2008 Conference Paper http://hdl.handle.net/20.500.11937/16576 10.1109/BIBM.2008.59 Institute of Electrical and Electronics Engineers (IEEE) Computer Society fulltext |
| spellingShingle | Hadzic, Maja Chen, Meifania Dillon, Tharam S. Towards the mental health ontology |
| title | Towards the mental health ontology |
| title_full | Towards the mental health ontology |
| title_fullStr | Towards the mental health ontology |
| title_full_unstemmed | Towards the mental health ontology |
| title_short | Towards the mental health ontology |
| title_sort | towards the mental health ontology |
| url | http://hdl.handle.net/20.500.11937/16576 |