NYI: Design of Knowledge-Base Systems from Reusable components

知识体系的构建是一项劳动密集型的工作。不幸的是，当前用于构建基于知识的系统的工具不允许开发人员在构建新系统时充分利用以前的知识库。该奖项支持的研究涉及为构建基于知识的系统设计一种新颖的体系结构。该体系结构允许系统构建者从库中选择现有的问题解决方法，或者从一组预定义的构建块中构造新的问题解决方法。然后，开发人员将问题解决方法的数据需求映射到定义特定应用程序领域模型的可重用领域本体的元素。用于构建基于知识的系统的领域本体和解决问题的方法都存储在库中，未来的开发人员在实现新应用程序时可以访问这些库。因此，该研究解决了索引和检索问题解决方法和领域本体的策略，并将这些组件集成到新的问题解决框架中。该研究将允许构建用于构建基于知识的系统的新工具类，并将定义支持在越来越高的抽象层次上重用基于知识的组件的基础结构。//

The construction of knowledge-based systems is extremely labor-intensive. Unfortunately, current tools for building knowledge-based systems do not allow developers to take significant advantage of previous knowledge bases when building new systems. The research supported by this award involves design of a novel architecture for the construction of knowledge-based systems. The architecture allows system builders either to select an existing problem-solving method from a library, or to construct a new problem-solving method from a set of predefined building blocks. The developer then maps the data requirements of the problem-solving method to elements of reusable domain ontologies that define models of particular application areas. Both the domain ontologies and the problem-solving methods that are used to build knowledge-based systems are stored in libraries that future developers can access when implementing new applications. The research thus addresses strategies to index and retrieve problem-solving methods and domain ontologies, and to integrate these components within new problem-solving frameworks. The research will allow construction of new classes of tools for building knowledge-based systems, and will define an infrastructure that supports the reuse of knowledge-base components at increasingly high levels of abstraction. //