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Bio-medical Ontologies Maintenance and Change Management

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282 M. Hadzic, M. Chen, <strong>and</strong> R. Brouwer<br />

the multi-agent system to find solutions to complex problems that are usually impossible<br />

to be solved by individual agents.<br />

Additional advantage of agent-based systems is mobility of agents. Agents can<br />

be created as being capable of migrating to different places <strong>and</strong> execute their actions<br />

at different places. Addition of mobile agents has the potential to increase<br />

dynamics <strong>and</strong> efficiency of the whole system.<br />

Our research focus is the implementation of agent-based systems within health<br />

domain, more specifically, in the study of total wellbeing. Our health <strong>and</strong> wellbeing<br />

is not only determined by our physical health but also by mental health, our<br />

emotions, relationships, financial situation <strong>and</strong> spirituality. A huge body of the information<br />

is available on these <strong>and</strong> related topics. The thee main issues hindering<br />

effective use of the available information include [1]:<br />

(1) size of the available information<br />

(2) information resources of autonomous, distributed <strong>and</strong> heterogeneous nature,<br />

<strong>and</strong><br />

(3) lack of tools to systematically analyse the huge body of available information<br />

<strong>and</strong> derive useful knowledge from it.<br />

Health professionals <strong>and</strong> general public are faced with numerous difficulties,<br />

from more specific problems such as complex nature of the health (as explained in<br />

Section 3) to more generic problems such as [1,2]:<br />

(1) amount of health information is rapidly increasing as new papers <strong>and</strong> journals<br />

are increasingly being published <strong>and</strong> added to the existing information resources<br />

(2) available information is found in inconsistent structures which is a result of<br />

autonomous information resources, <strong>and</strong><br />

(3) various information resources contain related, overlapping <strong>and</strong> semicomplementary<br />

information but we lack tools to identify these occurrences.<br />

In this paper we present a multi-agent system that will enable efficient <strong>and</strong> effective<br />

use of health-related information. A number of multi-agent systems have<br />

been implemented within <strong>medical</strong> <strong>and</strong> health domain <strong>and</strong> these are discussed in<br />

Section 2. We focus specifically on the information that is related to the total<br />

wellbeing <strong>and</strong> relationships between different dimensions of the total wellbeing.<br />

We explain the complex nature of total wellbeing <strong>and</strong> discuss related studies in<br />

Section 3. In Section 4, we use the TICSA approach [34] to design the multi-agent<br />

system. We give our final remarks in Section 5.<br />

2 Multi-agent Systems <strong>and</strong> <strong>Ontologies</strong> in Health Domain<br />

Multi-agent systems are increasingly being used in the <strong>medical</strong> <strong>and</strong> health domain.<br />

Implementation of agent-based systems empowers practitioners, scientist, patients<br />

<strong>and</strong> general public to address their needs in a more relevant way. Some of the existing<br />

agent-based systems are designed to use information specific to a <strong>medical</strong><br />

<strong>and</strong> health organizations; others use information from the Internet.

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