Managing and Mining Evolving Ontologies through combining Patterns Languages and Data Mining

通过结合模式语言和数据挖掘来管理和挖掘不断发展的本体

• 批准号: LP0667714
• 负责人: Prof John Roddick
• 金额: $ 9.22万
• 依托单位: Flinders University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-10-16 至 2011-05-07
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0667714
• 关键词: Managing; Mining; Evolving; Ontologies; through

Data mining offers insight into the substantial and growing repositories of medical data while pattern languages offer the ability to provide a high level conceptual designs of an artifact or process. This project thus promises to facilitate, on the one hand, the discovery of medical knowledge from large quantities of clinical or epidemiological data, while also providing a better way of constructing and validating medically oriented design patterns which can then be used in medical data collection systems.

数据挖掘提供了对大量且不断增长的医疗数据存储库的洞察，而模式语言提供了提供工件或过程的高级概念设计的能力。 因此，该项目一方面有望促进从大量临床或流行病学数据中发现医学知识，同时还提供一种更好的方法来构建和验证面向医学的设计模式，然后将其用于医学数据收集系统。