CAREER: Geometric Reasoning for Large Engineering Knowledge-Bases

本研究开发了用于管理大型工程知识数字图书馆的表示和算法。在工程设计中，保守估计超过75%的设计活动是基于案例的。本研究确定了复杂几何和工程信息推理的新计算方法。它开发了数学基础和算法工具，以支持从大型工程知识库（例如由现代CAD系统生成的知识库）中基于内容的检索。本研究确定了：(1)用于从设计知识库中自动索引和检索模型的启发式搜索算法；(2)基于产品模型几何关系定义工程数据元素之间任意关系的数据结构；(3)支持外部代理定制查询的搜索接口。此外，该项目制定了一个教育计划，将核心计算机科学课程与来自现实世界应用领域的复杂问题相结合。这是通过将跨学科的问题解决方案纳入基础计算机科学课程，与行业的外展活动以及国家设计库（面向全球用户的设计知识数字教科书）来实现的。这个职业规划将对工程设计和计算机辅助制造产生广泛的影响。http://www.mcs.drexel.edu/ wregli / EKB

This research develops representations and algorithms to manage large digital libraries of engineering knowledge. In engineering design, it is conservatively estimated that more than 75% of design activity is case-based. This research identifies new computational methods for reasoning about complex geometric and engineering information. It develops the mathematical foundation and algorithmic tools to support content-based retrieval from large engineering knowledge-bases (such as are generated by modern CAD systems). This research identifies: (1) classes of heuristic search algorithms for automated indexing and retrieval of models from design knowledge-bases; (2) data structures for defining arbitrary relationships among engineering data elements, based on their relationships through product model geometry; (3) search interfaces for supporting customized queries from outside agents. Additionally, this project develops an educational plan that integrates the core computer science curriculum with complex problems drawn from real-world application domains. This is accomplished through incorporating interdisciplinary problem solving into basic Computer Science classes, outreach activities with industry, and the National Design Repository---digital textbook of design knowledge for users around the globe. This CAREER plan will have an extensive impact on engineering design and computer-aided manufacturing. http://www.mcs.drexel.edu/ wregli/EKB