Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K)

快速发展的知识网络中的形式上下文分析 (4CARE-K)

• 批准号: LP0455105
• 负责人: Prof Heinrich Schmidt
• 金额: $ 16.87万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-10-15 至 2007-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0455105
• 关键词: Formal; Context; Analysis; Rapidly; Evolving

On-the-fly personalised assembly of complex objects (learning materials, contracts, plans, designs, software configurations, etc) is increasingly expected in knowledge processing and decision making. This requires the discovery of discrete underlying models and taxonomies of subject domains and statistical matching in dynamically varying contexts defined by changing personal preferences, tasks, objectives and other characteristics. This project addresses formal models of context and similarity based in applied lattice theory (formal concepts), feature logic and statistical retrieval. Parallel algorithms will be developed, analysed and benchmarked to enable high-performance processing of vast numbers of heterogeneous objects in a distributed knowledge web.

复杂物体的即时个性化装配（学习 材料、合同、计划、设计、软件配置等） 在知识处理和决策中， 制作。这需要发现离散的基础模型， 动态主题域分类和统计匹配 通过改变个人偏好，任务， 目标和其他特点。 该项目涉及正式 基于应用格理论的上下文和相似性模型 （形式概念），特征逻辑和统计检索。 平行 将开发、分析和基准测试算法， 高性能处理大量异构对象 分布式知识网络。