Ontology support for biomedical information resources
|dc.contributor.author||Dillon, Tharam S.|
|dc.identifier.citation||Dillon, Tharam S. and Chang, Elizabeth and Hadzic, Maja. 2008. Ontology support for biomedical information resources, in Puuronen, S. and Pechenizkiy, M. Tsymbal, A. and Lee, Dah-Jye. (ed), 21st International Symposium on Computer Based Medical Systems, Jun 17 2008, pp.7-16, Jyvaskyla, Finland: Institute of Electrical and Electronics Engineers (IEEE) Computer Society|
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.
|dc.publisher||Institute of Electrical and Electronics Engineers IEEE Computer Society|
|dc.title||Ontology support for biomedical information resources|
|dcterms.source.title||Proceedings of 21st IEEE international symposium on computer based medical systems (CBMS 2008)|
|dcterms.source.series||Proceedings of 21st IEEE international symposium on computer based medical systems (CBMS 2008)|
|dcterms.source.conference||21st IEEE International Symposium on Computer Based Medical Systems (CBMS 2008)|
|dcterms.source.conference-start-date||17 Jun 2008|
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|curtin.department||Centre for Extended Enterprises and Business Intelligence|
|curtin.faculty||Curtin Business School|
|curtin.faculty||School of Economics and Finance|