MII: Frameworks for the Development of Efficient and Scalable Knowledge-based Systems

hartley, Roger T.Leung, Hing Pontelli, Enrico Ranjan, Desh Tran， son新墨西哥州立大学题目：高效和可扩展的知识系统开发框架该提案旨在扩大旨在吸引和留住美洲原住民学生的活动，旨在发展坚实的合作研究骨干，加强其教育计划，并提高不同学生群体在计算机相关学科的参与。计算机科学系的合作研究，促进与其他院系（特别是生物学系和心理学学系）和其他研究机构的研究和教育合作。拟议的研究骨干在四个相互依赖的线程中铰接：基于知识的系统设计的语言和方法基于知识的技术在语义网、通用可及性和计算生物学中的应用基于知识的应用程序的自动调试和基于组件的编程加强教育计划有望提高招聘和留用率。增加向研究生课程的过渡，并加强研究生和本科水平的研究和教育之间的整合。这些目标将通过在整个本科课程中引入路径系统来实现，其中不同的路径将适应不同的学生背景。该机构专注于培养美国原住民学生的计算机科学教育模式，期望提高不同学生群体在计算机相关学科的参与度，尤其注重为培养美国原住民学生的计算机科学教育模式的创建。拟议的基础设施提供研究支持，以计算设备的形式（例如，64处理器Beowulf平台，惠普共享内存平台，机器人设备）和人力资源支持（为教师，学生和访问科学家）。教育基础设施包括创建一个新的计算机教室，并为新教育计划的发展提供人力资源。一个由14名研究人员组成的研究小组将从这个基础设施中受益，通过新思想的相互交流，加强他们的跨学科研究。

EIA 02-20590Hartley, Roger T.Leung, Hing Pontelli, Enrico Ranjan, Desh Tran, SonNew Mexico State University Title: Frameworks for the Development of Efficient and Scalable Knowledge-Based Systems This proposal, expanding activities geared to attract and retain Native American students, aims at developing a solid collaborative research backbone, enhancing its educational program, and improving participation of a diverse student population in computer-related disciplines. The backbone, enabling a cooperative research efforts in the Computer Science Department, fosters research and educational collaborations with other departments (specifically Biology and Psychology) and with other research institutions. The proposed research backbone is articulated in four inter-dependent threads: Data structures and methodologies for efficient parallel execution of logic and constraint programming languages Languages and methodologies for the design of knowledge based systems Application of knowledge-based technology in Semantic Web, Universal Accessibility, and Computational Biology Automated debugging and component-based programming for knowledge-based applicationsEnhancement of the educational program is expected to lead to improved recruitment and retention, increased transition towards graduate programs, and a stronger integration between research and education at the graduate and undergraduate level. These goals will be accomplished through the introduction of a pathways system throughout the undergraduate curriculum, where different pathways will accommodate the diverse student backgrounds. Focusing on an educational model for the training of Native American students in Computer Science, the institution expects to improve participation of a diverse student population in computer-related disciplines, with particular focus on the creation of an educational model for the training of Native American students in Computer Science. The proposed infrastructure provides research support, in the form of computing equipment (e.g., a 64-processor Beowulf platform, HP shared memory platform, robotic equipment) and human resources support (for faculty, students, and visiting scientists). The educational infrastructure includes the creation of a new computing classroom and provides human resources for the development of the new educational programs. A research team, consisting of 14 investigators, will benefit from this infrastructure by strengthening their interdisciplinary research through cross-fertilization of new ideas.