Holonic multi-agent system complemented by human disease ontology supporting bio-medical community

The medical milieu is an open environment characterized by a variety of distributed, heterogeneous and autonomous information resources. Coordination, cooperation and exchange of information are important to the medical community. This paper presents an Ontology-based Holonic Multiagent System that...

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Main Authors:	Hadzic, Maja, Chang, Elizabeth
Format:	Conference Paper
Published:	IEEE 2005
Subjects:	holonic multi-agent systems ontology-based multi-agents systems databases GHDO intelligent information retrieval information systems human disease ontology
Online Access:	http://hdl.handle.net/20.500.11937/16244

id	curtin-20.500.11937-16244
recordtype	eprints
spelling	curtin-20.500.11937-162442017-02-27T14:47:53Z Holonic multi-agent system complemented by human disease ontology supporting bio-medical community Hadzic, Maja Chang, Elizabeth holonic multi-agent systems ontology-based multi-agents systems databases GHDO intelligent information retrieval information systems human disease ontology The medical milieu is an open environment characterized by a variety of distributed, heterogeneous and autonomous information resources. Coordination, cooperation and exchange of information are important to the medical community. This paper presents an Ontology-based Holonic Multiagent System 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 design a new ontology, called Generic Human Disease Ontology (GHDO), for the representation of knowledge regarding human diseases. The concepts of the GHDO ontology are organized into the following four dimensions: Types, Symptoms, Causes and Treatments of human diseases. The holonic multi-agent system uses this common GHDO ontology for purpose of query formulation, information retrieval and information integration. This intelligent dynamic system provides opportunities to collect information from multiple information resources, to share data efficiently and to integrate and manage scientific results in a timely manner. 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/20.500.11937/16244 IEEE fulltext
repository_type	Digital Repository
institution_category	Local University
institution	Curtin University Malaysia
building	Curtin Institutional Repository
collection	Online Access
topic	holonic multi-agent systems ontology-based multi-agents systems databases GHDO intelligent information retrieval information systems human disease ontology
spellingShingle	holonic multi-agent systems ontology-based multi-agents systems databases GHDO intelligent information retrieval information systems human disease ontology Hadzic, Maja Chang, Elizabeth Holonic multi-agent system complemented by human disease ontology supporting bio-medical community
description	The medical milieu is an open environment characterized by a variety of distributed, heterogeneous and autonomous information resources. Coordination, cooperation and exchange of information are important to the medical community. This paper presents an Ontology-based Holonic Multiagent System 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 design a new ontology, called Generic Human Disease Ontology (GHDO), for the representation of knowledge regarding human diseases. The concepts of the GHDO ontology are organized into the following four dimensions: Types, Symptoms, Causes and Treatments of human diseases. The holonic multi-agent system uses this common GHDO ontology for purpose of query formulation, information retrieval and information integration. This intelligent dynamic system provides opportunities to collect information from multiple information resources, to share data efficiently and to integrate and manage scientific results in a timely manner. 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.
format	Conference Paper
author	Hadzic, Maja Chang, Elizabeth
author_facet	Hadzic, Maja Chang, Elizabeth
author_sort	Hadzic, Maja
title	Holonic multi-agent system complemented by human disease ontology supporting bio-medical community
title_short	Holonic multi-agent system complemented by human disease ontology supporting bio-medical community
title_full	Holonic multi-agent system complemented by human disease ontology supporting bio-medical community
title_fullStr	Holonic multi-agent system complemented by human disease ontology supporting bio-medical community
title_full_unstemmed	Holonic multi-agent system complemented by human disease ontology supporting bio-medical community
title_sort	holonic multi-agent system complemented by human disease ontology supporting bio-medical community
publisher	IEEE
publishDate	2005
url	http://hdl.handle.net/20.500.11937/16244
first_indexed	2018-09-06T19:33:51Z
last_indexed	2018-09-06T19:33:51Z
_version_	1610887915376738304

Holonic multi-agent system complemented by human disease ontology supporting bio-medical community

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