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dc.contributor.authorMaiga, Gilbert
dc.contributor.authorDdembe, Williams
dc.date.accessioned2013-07-26T11:12:17Z
dc.date.available2013-07-26T11:12:17Z
dc.date.issued2007
dc.identifier.citationMaiga, 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.isbn13:978-9970-02-604-3
dc.identifier.isbn10:9970-02-604-6
dc.identifier.urihttp://hdl.handle.net/10570/1994
dc.description.abstractReusable 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.language.isoenen_US
dc.subjectClinical researchen_US
dc.subjectBiological researchen_US
dc.subjectbiomedical integration systemsen_US
dc.subjectOntologyen_US
dc.subjectBiomedical dataen_US
dc.titleTowards a reusable ontology framework for biological information integrationen_US
dc.typeBook chapteren_US


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