Ontology support for biomedical information resources
The increasing body of distributed and heterogeneous information and the autonomous, heterogeneous and dynamic nature of information resources are important issues hindering effective and efficient data access, retrieval and knowledge sharing. The importance of ontologies has been recognised within...
| 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/20.500.11937/39639 |
| _version_ | 1848755645570875392 |
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| author | Dillon, Tharam S. Chang, Elizabeth Hadzic, Maja |
| author2 | Seppo Puuronen |
| author_facet | Seppo Puuronen Dillon, Tharam S. Chang, Elizabeth Hadzic, Maja |
| author_sort | Dillon, Tharam S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The increasing body of distributed and heterogeneous information and the autonomous, heterogeneous and dynamic nature of information resources are important issues hindering effective and efficient data access, retrieval and knowledge sharing. The importance of ontologies has been recognised within the biomedical domain and work has begun on developing and sharing biomedical ontologies. In this paper, we define ontology and ontology commitments and explain the main characteristics and representations of ontology models. Ontologies are highly expressive knowledge models and as such increase expressiveness and intelligence of a system. We highlight the significance of ontologies in a variety of semi-automatic and automatic tasks, and provide an illustrative example of an ontology-based multi-agent system designed to intelligently retrieve information about human diseases from a number of heterogeneous and dispersed information resources. |
| first_indexed | 2025-11-14T08:59:36Z |
| format | Conference Paper |
| id | curtin-20.500.11937-39639 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:59:36Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-396392022-12-07T06:50:49Z Ontology support for biomedical information resources Dillon, Tharam S. Chang, Elizabeth Hadzic, Maja Seppo Puuronen Mykola Pechenizkiy Alexey Tsymbal Dah-Jye Lee The increasing body of distributed and heterogeneous information and the autonomous, heterogeneous and dynamic nature of information resources are important issues hindering effective and efficient data access, retrieval and knowledge sharing. The importance of ontologies has been recognised within the biomedical domain and work has begun on developing and sharing biomedical ontologies. In this paper, we define ontology and ontology commitments and explain the main characteristics and representations of ontology models. Ontologies are highly expressive knowledge models and as such increase expressiveness and intelligence of a system. We highlight the significance of ontologies in a variety of semi-automatic and automatic tasks, and provide an illustrative example of an ontology-based multi-agent system designed to intelligently retrieve information about human diseases from a number of heterogeneous and dispersed information resources. 2008 Conference Paper http://hdl.handle.net/20.500.11937/39639 10.1109/CBMS.2008.21 Institute of Electrical and Electronics Engineers IEEE Computer Society fulltext |
| spellingShingle | Dillon, Tharam S. Chang, Elizabeth Hadzic, Maja Ontology support for biomedical information resources |
| title | Ontology support for biomedical information resources |
| title_full | Ontology support for biomedical information resources |
| title_fullStr | Ontology support for biomedical information resources |
| title_full_unstemmed | Ontology support for biomedical information resources |
| title_short | Ontology support for biomedical information resources |
| title_sort | ontology support for biomedical information resources |
| url | http://hdl.handle.net/20.500.11937/39639 |