Soft computing agents for e-health applied to the research and control of unknown diseases
This paper presents an Ontology-based Holonic Diagnostic System (OHDS) that combines the advantages of the holonic paradigm with multi-agent system technology and ontology design, for the organization of unstructured biomedical research into structured disease information. We use ontologies as '...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier Ltd
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/28804 |
| _version_ | 1848752634296532992 |
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| author | Hadzic, Maja Chang, Elizabeth Ulieru, M. |
| author_facet | Hadzic, Maja Chang, Elizabeth Ulieru, M. |
| author_sort | Hadzic, Maja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents an Ontology-based Holonic Diagnostic System (OHDS) that combines the advantages of the holonic paradigm with multi-agent system technology and ontology design, for the organization of unstructured biomedical research into structured disease information. We use ontologies as 'brain' for the holonic diagnostic system to enhance its ability to structure information in a meaningful way and share information fast. To integrate dispersed heterogeneous knowledge available on the web we use a fuzzy mechanism ruled by intelligent agents, which automatically structures the information in the adequate ontology template. Our vision of how this system implementation should be backed by a solid security shield that ensures the privacy and safety of medical information concludes the paper. |
| first_indexed | 2025-11-14T08:11:44Z |
| format | Journal Article |
| id | curtin-20.500.11937-28804 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:11:44Z |
| publishDate | 2006 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-288042018-10-03T07:29:14Z Soft computing agents for e-health applied to the research and control of unknown diseases Hadzic, Maja Chang, Elizabeth Ulieru, M. safety privacy OHDS information systems intelligent agents ontology-based holonic diagnostic systems biomedical research medical information ontology-based This paper presents an Ontology-based Holonic Diagnostic System (OHDS) that combines the advantages of the holonic paradigm with multi-agent system technology and ontology design, for the organization of unstructured biomedical research into structured disease information. We use ontologies as 'brain' for the holonic diagnostic system to enhance its ability to structure information in a meaningful way and share information fast. To integrate dispersed heterogeneous knowledge available on the web we use a fuzzy mechanism ruled by intelligent agents, which automatically structures the information in the adequate ontology template. Our vision of how this system implementation should be backed by a solid security shield that ensures the privacy and safety of medical information concludes the paper. 2006 Journal Article http://hdl.handle.net/20.500.11937/28804 10.1016/j.ins.2005.07.020 Elsevier Ltd fulltext |
| spellingShingle | safety privacy OHDS information systems intelligent agents ontology-based holonic diagnostic systems biomedical research medical information ontology-based Hadzic, Maja Chang, Elizabeth Ulieru, M. Soft computing agents for e-health applied to the research and control of unknown diseases |
| title | Soft computing agents for e-health applied to the research and control of unknown diseases |
| title_full | Soft computing agents for e-health applied to the research and control of unknown diseases |
| title_fullStr | Soft computing agents for e-health applied to the research and control of unknown diseases |
| title_full_unstemmed | Soft computing agents for e-health applied to the research and control of unknown diseases |
| title_short | Soft computing agents for e-health applied to the research and control of unknown diseases |
| title_sort | soft computing agents for e-health applied to the research and control of unknown diseases |
| topic | safety privacy OHDS information systems intelligent agents ontology-based holonic diagnostic systems biomedical research medical information ontology-based |
| url | http://hdl.handle.net/20.500.11937/28804 |