Ontology based holonic diagnostic system (OHDS) for 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, in order to realize a highly reliable, adaptive, scalable, flexible, and robust diagnostic system for diseases. We propo...
| Main Authors: | , , |
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| Format: | Conference Paper |
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ACTA Press
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/20604 |
| _version_ | 1848750353022976000 |
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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, in order to realize a highly reliable, adaptive, scalable, flexible, and robust diagnostic system for diseases. We propose to use ontologies as brain for the holonic diagnostic system to enhance its ability to structure information in a meaningful way and share information quickly. We believe such a technique is expected to become the norm once existing resources (e.g. Disease databases) will have become unlocked semantically through annotation with a shared ontology. |
| first_indexed | 2025-11-14T07:35:29Z |
| format | Conference Paper |
| id | curtin-20.500.11937-20604 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:35:29Z |
| publishDate | 2005 |
| publisher | ACTA Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-206042017-02-27T14:48:00Z Ontology based holonic diagnostic system (OHDS) for the research and control of unknown diseases Hadzic, Maja Chang, Elizabeth Ulieru, M. clinical assessment Health care specific human disease ontology biomedical computing medical holarchy generic human disease ontology information systems patient diagnosis 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, in order to realize a highly reliable, adaptive, scalable, flexible, and robust diagnostic system for diseases. We propose to use ontologies as brain for the holonic diagnostic system to enhance its ability to structure information in a meaningful way and share information quickly. We believe such a technique is expected to become the norm once existing resources (e.g. Disease databases) will have become unlocked semantically through annotation with a shared ontology. 2005 Conference Paper http://hdl.handle.net/20.500.11937/20604 ACTA Press restricted |
| spellingShingle | clinical assessment Health care specific human disease ontology biomedical computing medical holarchy generic human disease ontology information systems patient diagnosis Hadzic, Maja Chang, Elizabeth Ulieru, M. Ontology based holonic diagnostic system (OHDS) for the research and control of unknown diseases |
| title | Ontology based holonic diagnostic system (OHDS) for the research and control of unknown diseases |
| title_full | Ontology based holonic diagnostic system (OHDS) for the research and control of unknown diseases |
| title_fullStr | Ontology based holonic diagnostic system (OHDS) for the research and control of unknown diseases |
| title_full_unstemmed | Ontology based holonic diagnostic system (OHDS) for the research and control of unknown diseases |
| title_short | Ontology based holonic diagnostic system (OHDS) for the research and control of unknown diseases |
| title_sort | ontology based holonic diagnostic system (ohds) for the research and control of unknown diseases |
| topic | clinical assessment Health care specific human disease ontology biomedical computing medical holarchy generic human disease ontology information systems patient diagnosis |
| url | http://hdl.handle.net/20.500.11937/20604 |