Synergy on ontology and data mining: increasing value of the mental health
Increase in mental health research has lead to an accumulation of mental health information. This information covers different aspects of mental health domain and provides a huge range of results. There is a need for an effective and efficient system to enable intelligent use of all this informati...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers (IEEE)
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/10373 |
| _version_ | 1848746214696157184 |
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| author | Hadzic, Maja D'Souza, R Hadzic, Fedja Dillon, Tharam S. |
| author2 | Chang |
| author_facet | Chang Hadzic, Maja D'Souza, R Hadzic, Fedja Dillon, Tharam S. |
| author_sort | Hadzic, Maja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Increase in mental health research has lead to an accumulation of mental health information. This information covers different aspects of mental health domain and provides a huge range of results. There is a need for an effective and efficient system to enable intelligent use of all this information. Specific and targeted searches are very difficult with current search engines as they look for the specific string of letters within the text rather than its meaning. Even within a specific resource, such as PubMed, it is difficult to find, link and share specific information when needed.In this paper we present a system resulting from synergy of ontology and data mining technologies. This system uses the Generic Mental Health Ontology to perform intelligent information searches. Furthermore, it uses data mining algorithms to analyze the retrieved information, and extract patterns and knowledge hidden within this information. The ontology and data-mining work in concert to increase value of the mental health information within PubMed database. |
| first_indexed | 2025-11-14T06:29:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-10373 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:29:42Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-103732022-11-21T06:47:03Z Synergy on ontology and data mining: increasing value of the mental health Hadzic, Maja D'Souza, R Hadzic, Fedja Dillon, Tharam S. Chang Elizabeth Hussain Farookh Increase in mental health research has lead to an accumulation of mental health information. This information covers different aspects of mental health domain and provides a huge range of results. There is a need for an effective and efficient system to enable intelligent use of all this information. Specific and targeted searches are very difficult with current search engines as they look for the specific string of letters within the text rather than its meaning. Even within a specific resource, such as PubMed, it is difficult to find, link and share specific information when needed.In this paper we present a system resulting from synergy of ontology and data mining technologies. This system uses the Generic Mental Health Ontology to perform intelligent information searches. Furthermore, it uses data mining algorithms to analyze the retrieved information, and extract patterns and knowledge hidden within this information. The ontology and data-mining work in concert to increase value of the mental health information within PubMed database. 2008 Conference Paper http://hdl.handle.net/20.500.11937/10373 Institute of Electrical and Electronics Engineers (IEEE) restricted |
| spellingShingle | Hadzic, Maja D'Souza, R Hadzic, Fedja Dillon, Tharam S. Synergy on ontology and data mining: increasing value of the mental health |
| title | Synergy on ontology and data mining: increasing value of the mental health |
| title_full | Synergy on ontology and data mining: increasing value of the mental health |
| title_fullStr | Synergy on ontology and data mining: increasing value of the mental health |
| title_full_unstemmed | Synergy on ontology and data mining: increasing value of the mental health |
| title_short | Synergy on ontology and data mining: increasing value of the mental health |
| title_sort | synergy on ontology and data mining: increasing value of the mental health |
| url | http://hdl.handle.net/20.500.11937/10373 |