Rector Alan L, Rogers Jeremy, Roberts Angus, Wroe Chris
Medical Informatics Group, Department of Computer Science, University of Manchester, Manchester M13 9PL, UK.
Proc AMIA Symp. 2002:642-6.
Bridging levels of scale and context are key problems for integrating Bio- and Health Informatics. Formal, logic-based ontologies using expressive formalisms are naturally "fractal" and provide new methods to support these aims. The basic notion of composition can be used to bridge scales; axioms can be used to carry implicit information; specific context markers can be included in definitions; and a hierarchy of semantic links can be used to represent subtle differences in point of view. Experience with OpenGALEN, the UK Drug Ontology and new experiments with the Gene Ontology and Foundational Model of Anatomy suggest that these are powerful tools provide practical solutions.
跨越不同规模和背景层次是整合生物信息学与健康信息学的关键问题。使用富有表现力的形式主义的基于逻辑的形式本体自然具有“分形性”,并提供了支持这些目标的新方法。合成的基本概念可用于跨越规模;公理可用于传递隐含信息;定义中可包含特定的上下文标记;语义链接层次结构可用于表示观点上的细微差异。对OpenGALEN、英国药物本体的经验以及对基因本体和解剖学基础模型的新实验表明,这些都是提供实际解决方案的强大工具。