Research Directions Workshop on Large Scale Knowledge Base and Reasoning Systems, February 25-27, 1985

大规模知识库和推理系统研究方向研讨会，1985 年 2 月 25-27 日

• 批准号: 8413837
• 负责人: Michael Brodie
• 金额: $ 3.81万
• 依托单位: Computer Corporation of America
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1984
• 资助国家: 美国
• 起止时间: 1984-12-15 至 1985-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8413837&HistoricalAwards=false
• 关键词: Research; Directions; Workshop; Large; Scale

Large-Scale Knowledge Base and Reasoning Systems are critical elements in several research programs including those of NSF and DARPA. Such systems will require intelligent processing over very large amounts of data organized under various knowledge representation schemes. Current Artificial Intelligence (AI) technology provides 'intelligent' processing over relatively small amounts of data stored under small but rich knowledge representation schemes; Database (DB) technology supports efficient storage and retrieval of large data volumes stored under large but simpler database schemes; evolving hardware technologies impact both areas. These technologies must be integrated to meet the requirements of Large Scale Knowledge Base Systems. Funds are provided to organize and run a three-day, limited attendance workshop. The goal of the workshop is to identify key technical requirements, problems, approaches, and solutions to Large Scale Knowledge Base and Reasoning Systems. The second goal is to increase the technology transfer between the AI and DB communities needed to solve the identified open problems.

大规模知识库和推理系统是关键要素 包括NSF和DARPA的研究项目。 等 系统将需要智能处理大量的 根据各种知识表示方案组织的数据。 电流 人工智能（AI）技术提供“智能” 处理存储在较小但 丰富的知识表示方案;数据库技术 支持高效存储和检索存储的大量数据 在大型但更简单的数据库方案下;不断发展的硬件 技术对这两个领域都有影响。 这些技术必须整合 以满足大规模知识库系统的需求。 资金 组织和运行一个为期三天的，有限的出席， 车间 研讨会的目标是确定关键技术 大规模生产的要求、问题、方法和解决方案 知识库和推理系统。 第二个目标是增加 AI和DB社区之间的技术转移， 解决已发现的未决问题。