Bio-medical Ontologies Maintenance and Change Management

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288 M. Hadzic, M. Chen, and R. Brouwer system. The systematic and meaningful organization of the information will enable efficient and effective retrieval of the information as well as meaningful representation of the information to the user. Note that the Total Wellbeing Ontology will evolve as more knowledge on this topic becomes available. We aim to combine Data Mining and Multi-agent technologies to design a system that will help to update the Total Wellbeing Ontology on a regular basis. 4.3 Define Agent’s Collaborations In the first stage of the TICSA design methodology we identified different types of agent in line with their different functions within the multi-agent system. In this stage we will define structural organization and position of agents within the system. We need to create system architecture that will enable the most optimal performance of agents. The agents have to be organized in such way that the problem solving process can easily flow towards its completion and the communication between different agents can be easily established at any stage of the processing cycle. Addressing those two issues effectively has the potential to greatly contribute to the efficient and effective performance of the system. In some cases, a system with a simple organization of agents functions the best. In other cases it may be required to design a more complex system to address the needs of complex problem at hand. Similar to work described in [12], we propose a Holonic Multi-agent Structure (shown in Figure 1) as a nested hierarchy of six holarchies in which each of the six Total wellbeing Ontology dimensions (Physical, Mental, Relational, Emotional, Financial and Spiritual Wellbeing) is associated with one holarchy. The holarchy agents will have the role of Information agents and will retrieve information specific to their holarchy. They will search for information to reveal interrelationships between the different dimensions. For example, agents of Physical holarchy will retrieve information regarding relationships between Physical dimension and any other dimension defined by the Total Wellbeing Ontology. Note that it will not retrieve information about Physical dimension alone as that is not the purpose of this project. All the information retrieved by the Information agents of the six holarchies will be forwarded to the Intelligent agent. The Intelligent Agent has three main functions. Firstly, it needs to validate the information received from the Information agents. Some of the retrieved information may come from web pages that contain personal opinions and not scientific results of evidence-based studies. Invalid information may be kept separately for referencing purpose but will not be incorporated into the dedicated database until more evidence is found to support that statement. Second function of the Intelligent agent is to systematically organize the retrieved information within a dedicated database. The agent uses the Total Wellbeing Ontology for this purpose. Third function of the Intelligent agent is to retrieve specific information when requested by the Interface agent.
Completing the Total Wellbeing Puzzle Using a Multi-agent System 289 Fig. 1. Interface, Intelligent and Information agents The Interface agent assists the user in formulating queries. It sends the request to the Intelligent Agent. The Intelligent agent retrieves the specific information. Optionally, it may need to activate Information agents to search for more evidence. Intelligent agent forwards information of interest to the Interface agent. Interface agent uses the Total Wellbeing Ontology to presents this information to the user in a meaningful way. 4.4 Protect the System by Implementing Security Requirements The security criteria must be addressed during the development of a multi-agent system. The aim should be to provide as much security as possible. This can be achieved though precise identification of potential security threats, addressing effectively those issues and implementing them within the multi-agent system. The six security properties [46] of confidentiality (assuring that the information is only available to authorized agents), authentication (verifying identity of an agent), integrity (guaranteeing that the retrieved information is identical to the source information), access control (identify access rights of an agent), non repudiation (verifying involvement of an agent in certain communication) and availability (assuring ease of access and use of information and resources to authorized agents). We have identifies some additional characteristics of agents that can contribute to increased security of the system from the internal point of view. These include: (1) Compliance. The designer team has created the agents and the overall system, and is best positioned to identify and specifically define the set of rules and regulations that must be closely followed by all agents of the system. The agents that refuse to follow the rules and regulation are putting in danger not only their own existence but, if ignored, are becoming a serious threat to the whole system.
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Amandeep S. Sidhu and Tharam S. Dil
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Preface The molecular biology commu
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Preface VII biomedical systems, and
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X Contents Mining Clinical, Immunol
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2 A.S. Sidhu, M. Bellgard, and T.S.
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Towards Bioinformatics Resourceomes
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2 The New Waves Towards Bioinformat
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2.4 Semantic Web Towards Bioinforma
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A Summary of Genomic Databases: Ove
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Appendix A Summary of Genomic Datab
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Protein Data Integration Problem Am
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Fig. 3. Class Hierarchy of Protein
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Bio-medical Ontologies Maintenance
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TextToOnto (Maedche and Volz 2001)
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Extraction of Constraints from Biol
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Classifying Patterns in Bioinformat
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Mining Clinical, Immunological, and
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Author Index Apiletti, Daniele 169
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Bio-medical Ontologies Maintenance and Change Management

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