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

    19489_downloaded_stream_7.pdf (4.007Mb)
    Access Status
    Open access
    Authors
    Hadzic, Maja
    Chang, Elizabeth
    Date
    2005
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hadzic, Maja and Chang, Elizabeth. 2005. : Holonic multi-agent system complemented by human disease ontology supporting bio-medical community, IEEE International Conference on Computational Intelligence: Methods and Applications (CIMA), Dec 15 2005. Istanbul, Turkey: IEEE.
    Source Title
    2005 ICSC Congress on Computational Intelligence: Methods and Applications (CIMA)
    Source Conference
    IEEE International Conference on Computational Intelligence: Methods and Applications (CIMA)
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright 2005 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/16244
    Collection
    • Curtin Research Publications
    Abstract

    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.

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