用于高性能知识库开发的战略重用框架

Y.F. Chen, N. Warsi
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引用次数: 0

摘要

近年来,知识系统(knowledge-based system, KBS)领域的研究人员一直致力于快速开发具有更大灵活性和适应性的可重用知识库,以支持领域专家开发他们自己的面向领域的高性能知识系统。我们开发了一个策略重用系统,该系统将领域的声明性描述作为输入,然后自动生成一个高效的、特定于领域的KBS开发环境作为输出,并附带一个可重用的知识库库。基于特定的KBS性能需求和KB组件的战略特征之间的关系,可以进一步开发测试计划。本文着重于开发这样一个战略重用框架,以四个通用战略特征来描述知识库组件:计算效率、交互能力、建模灵活性和知识可用性。
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A strategic reuse framework for high-performance knowledge bases development
In recent years, researchers from knowledge-based system (KBS) fields have pushed toward rapidly develop a reusable knowledge base with a greater flexibility and adaptability to empower domain experts developing their own domain-oriented high performance knowledge-based systems. We develop a strategic-reuse system that takes as input a declarative description of a domain, and then automatically generates as output an efficient, domain-specific KBS development environment along with a reusable knowledge base library. A test plan can be further developed based on the relationships between the specific KBS performance requirement and the KB components' strategic characteristics. This paper focuses on developing such a strategic-reuse framework to characterize KB components in terms of four generic strategic features: computational efficiency, interactive capability, modeling flexibility, and knowledge usability.
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