Towards a reusable ontology framework for biological information integration

dc.contributor.author Maiga, Gilbert
dc.contributor.author Ddembe, Williams
dc.date.accessioned 2013-07-26T11:12:17Z
dc.date.available 2013-07-26T11:12:17Z
dc.date.issued 2007
dc.description.abstract Reusable knowledge structures are becoming increasingly important in the task of information integration. In biological and clinical research where vast amounts of data being generated and need to be shared, the task of developing infrastructures for information integration is an important one. In this paper, we provide the research background and approach to an ongoing study that aims to develop a reusable framework for the integration of biological and clinical research data. Such a framework shall provide users with the ability to access dispersed sources of biological and clinical data. The theoretical basis for the reusable framework is given. The proposed approach for developing and validation of the framework using the Protégé ontology development environment is also outlined. The study contributes to scientific knowledge by defining ontology structure that integrates biological and clinical information. This framework will be useful for removing the barriers between clinical and biological information for clinicians and the biological research community. The validated tool may also be used for training and extension of skills by researchers and clinicians. en_US
dc.identifier.citation Maiga, G., & Ddembe, W. 2006. Towards a reusable ontology framework for biological information integration. Joseph Kizza, Janet Aisbett, Andrew Vince, and Tom Wanyama (Eds.), Special Topics in Computing and ICT Research: Advances in Systems Modeling and ICT Applications , Vol. 2, pp. 375-387, 2006. en_US
dc.identifier.isbn 13:978-9970-02-604-3
dc.identifier.isbn 10:9970-02-604-6
dc.identifier.uri http://hdl.handle.net/10570/1994
dc.language.iso en en_US
dc.subject Clinical research en_US
dc.subject Biological research en_US
dc.subject biomedical integration systems en_US
dc.subject Ontology en_US
dc.subject Biomedical data en_US
dc.title Towards a reusable ontology framework for biological information integration en_US
dc.type Book chapter en_US
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