Use of ontology-based multi-agent systems in the biomedical domain

Coordination, cooperation and exchange of information is important to the medical community. We design a new ontology, called Generic Human Disease Ontology (GHDO), by merging and aligning existing medical ontologies. The concepts of the GHDO are organized into the following four dimensions: Types,...

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Main Authors:	Hadzic, Maja, Chang, Elizabeth
Format:	Conference Paper
Published:	The International Society for Computers and Their Applications - ISCA 2005
Subjects:	multi-agent GHDO generic human disease ontology information systems disease ontology biomedical
Online Access:	http://hdl.handle.net/20.500.11937/3161

id	curtin-20.500.11937-3161
recordtype	eprints
spelling	curtin-20.500.11937-31612017-01-30T10:29:07Z Use of ontology-based multi-agent systems in the biomedical domain Hadzic, Maja Chang, Elizabeth multi-agent GHDO generic human disease ontology information systems disease ontology biomedical Coordination, cooperation and exchange of information is important to the medical community. We design a new ontology, called Generic Human Disease Ontology (GHDO), by merging and aligning existing medical ontologies. The concepts of the GHDO are organized into the following four dimensions: Types, Symptoms, Causes and Treatments of human diseases. We also design a multi-agent system framework over different information resources. The multi-agent system uses the common GHDO ontology for query formulation, information retrieval and information integration. We conclude that 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. 2005 Conference Paper http://hdl.handle.net/20.500.11937/3161 The International Society for Computers and Their Applications - ISCA fulltext
repository_type	Digital Repository
institution_category	Local University
institution	Curtin University Malaysia
building	Curtin Institutional Repository
collection	Online Access
topic	multi-agent GHDO generic human disease ontology information systems disease ontology biomedical
spellingShingle	multi-agent GHDO generic human disease ontology information systems disease ontology biomedical Hadzic, Maja Chang, Elizabeth Use of ontology-based multi-agent systems in the biomedical domain
description	Coordination, cooperation and exchange of information is important to the medical community. We design a new ontology, called Generic Human Disease Ontology (GHDO), by merging and aligning existing medical ontologies. The concepts of the GHDO are organized into the following four dimensions: Types, Symptoms, Causes and Treatments of human diseases. We also design a multi-agent system framework over different information resources. The multi-agent system uses the common GHDO ontology for query formulation, information retrieval and information integration. We conclude that 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.
format	Conference Paper
author	Hadzic, Maja Chang, Elizabeth
author_facet	Hadzic, Maja Chang, Elizabeth
author_sort	Hadzic, Maja
title	Use of ontology-based multi-agent systems in the biomedical domain
title_short	Use of ontology-based multi-agent systems in the biomedical domain
title_full	Use of ontology-based multi-agent systems in the biomedical domain
title_fullStr	Use of ontology-based multi-agent systems in the biomedical domain
title_full_unstemmed	Use of ontology-based multi-agent systems in the biomedical domain
title_sort	use of ontology-based multi-agent systems in the biomedical domain
publisher	The International Society for Computers and Their Applications - ISCA
publishDate	2005
url	http://hdl.handle.net/20.500.11937/3161
first_indexed	2018-09-06T17:40:23Z
last_indexed	2018-09-06T17:40:23Z
_version_	1610880776844345344

Use of ontology-based multi-agent systems in the biomedical domain

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